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CI 5b8fa21d13 Build branch openpipeline/processing-workflows-quantile-filtering with version processing-workflows-quantile-filtering to openpipeline on branch processing-workflows-quantile-filtering (38f5f83d)

Build pipeline: openpipelines-bio.openpipeline.processing-workflows-quantijd49m

Source commit: 38f5f83d11

Source message: fix tests

2026-06-09 18:32:44 +00:00

96 KiB

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openpipelines x.x.x

BREAKING CHANGES

qc/calculate_qc_metrics: log1p-transformed qc metrics (log1p_<col>) are now added to .var and .obs by default via the new --log1p_transform flag (default true, mirroring scanpy behavior) (PR #1182, #1197).
workflows/qc/qc, workflows/rna/rna_multisample, workflows/prot/prot_multisample, workflows/multiomics/process_samples and workflows/multiomics/process_batches: expose the --log1p_transform flag (PR #1182).
workflows/multiomics/process_singlesample: now calculates basic QC metrics for the RNA and protein modalities by default, adding metric columns to .obs and .var of the output. This can be disabled with the new --skip_qc_metrics flag (PR #1199).

NEW FEATURES

filter/filter_with_scrublet: added --scrublet_score_threshold argument to allow manually setting the doublet score threshold instead of relying on automatic detection (PR #1183).
workflows/multiomics/process_singlesample, workflows/multiomics/process_samples and workflows/rna/rna_singlesample: surfaced --scrublet_score_threshold argument to allow manually setting the doublet score threshold instead of relying on automatic detection (PR #1183).
workflows/rna/rna_singlesample, workflows/multiomics/process_singlesample: surfaced additional scrublet pass-through arguments (--scrublet_expected_doublet_rate, --scrublet_stdev_doublet_rate, --scrublet_n_neighbors, --scrublet_sim_doublet_ratio, --scrublet_min_counts, --scrublet_min_cells, --scrublet_min_gene_variability_percent, --scrublet_num_pca_components, --scrublet_distance_metric, --scrublet_allow_automatic_threshold_detection_fail) to allow tuning doublet detection (PR #1198).
workflows/rna/rna_singlesample, workflows/multiomics/process_singlesample: added the --scrublet_do_subset flag to optionally remove cells classified as doublets from the output. By default doublets are only annotated (in .obs), preserving the existing behavior (PR #1198).
workflows/rna/rna_singlesample, workflows/prot/prot_singlesample, workflows/multiomics/process_singlesample, workflows/multiomics/process_samples: Enable filtering rna and protein modalities by percentile of log-transformed counts (PR #1200).

MINOR CHANGES

qc/calculate_qc_metrics: parametrize the names of the top-n-vars .obs output columns with the --output_obs_top_n_vars flag (PR #1182).
dataflow/concatenate_h5mu: Remove the unused parameter --obs_sample_name from the configuration (PR #1195).

BUG FIXES

workflows/prot/prot_multisample: fix two malformed state keys in the prot_qc call so the --output_var_num_nonzero_obs and --output_var_pct_dropout arguments are passed through correctly (PR #1196).

openpipelines 4.1.0

NEW FEATURES

qc/calculate_qc_metrics: added support for MuData encoded in Zarr format (PR #1140).
dataflow/split_modalities: added support for MuData encoded in Zarr format (PR #1152)
workflows/rna/rna_multisample, workflows/multiomics/process_batches, feature_annotation/highly_variable_features_scanpy: add an option to exclude features before running highly variable gene calculation based on a user-defined list of feature names (PR #1121).
annotate/consensus_vote: new component computing a (weighted) majority vote across cell type labels from multiple annotation methods (PR #1151).
filter/filter_with_quantile: added a component to filter numerical .obs or .var columns based on quantile thresholds, with optional subsetting (PR #1146).
dimred/pca: added possibility to do chunked processing using arguments chunks and chunk_size. Also added a seed argument in order to better control the variability between executions (PR #1157).
workflows/multiomics/process_singlesample: New workflow for processing RNA, protein and GDO modalities of individual samples (PR #1147).
transform/clear_slots: New component that can be used to remove all items from slots of a MuData object (PR #1171).
workflows/multiomics/process_singlesample, workflows/multiomics/process_samples, workflows/multiomics/process_batches: add --intersect_obs option to remove observations that are not present in all processed modalities, so each modality shares the same set of cells (PR #1173, 1175).
labels_transfer/cellmapper: New component that transfers labels from a reference to a query with a shared embedding using CellMapper (PR #1169, PR #1177)

MAJOR CHANGES

qc/calculate_qc_metrics: major improvements to memory consumption and runtimes (PR #1140 and PR #1191).
annotate/popv: bump version to 0.6.1 (PR #1167).

MINOR CHANGES

dataflow/split_modalities: improve memory consumption by only reading one modality at the same time (PR #1152).
qc/calculate_qc_metrics: bump python version to 3.13 (PR #1140).
transform/clr: provide descriptive error message when there are too few observations to perform normalization (PR #1137)
Bump viash to 0.9.7 (PR #1145)
annotate/celltypist and workflows/annotation/celltypist: set --input_layer default to log_normalized and --reference_var_input default to filter_with_hvg to align with upstream workflow defaults (PR #1155).
annotate/singler: set --input_layer default to log_normalized and --reference_var_input default to filter_with_hvg to align with upstream workflow defaults (PR #1155).
workflows/annotation/scanvi_scarches: set --input_obs_batch_label and --reference_obs_batch_label defaults to sample_id and --reference_var_hvg default to filter_with_hvg to align with upstream workflow defaults (PR #1155, #1189).
cluster/leiden: added flavor, n_iterations and seed arguments (PR #1132)
cluster/leiden: avoid creating unnecessary copies of the output data (PR #1132).
workflows/multiomics/process_samples: refactored to use a shared process_singlesample_base subworkflow, which is also used by the new process_singlesample workflow to avoid code duplication (PR #1147).
Bump anndata to 0.12.16 (PR #1174 and PR #1188).
Bump mudata to 0.3.8 (PR #1188).
Bump lianapy to 1.7.1 (PR #1188).
Add missing example fields to several component and workflow configurations (PR #1067).
Testing: bump viashpy to 0.10.0 (PR #1178).

BUG FIXES

dataflow/split_h5mu: pin scipy version to 1.16.3 to avoid regression that corrupts large sparse matrix indexing (PR #1153).
convert/from_h5ad_h5mu: store and reset var index names to avoid issues with a change in mudata (PR #1184).
convert/from_cellranger_multi_to_h5mu: fix KeyError in multiplexed experiments when sample IDs look like floating-point numbers (e.g. "156573596.0"); the metrics summary is now parsed with string dtype so sample IDs continue to match the per-sample directory names (PR #1192).

openpipelines 4.0.4

BUG FIXES

convert/from_cellranger_multi_to_h5mu: fix converting VDJ data when one or more samples has no AIRR data (PR #1149).

openpipelines 4.0.3

dataflow/split_h5mu: ensure subsetted modality is written as a .copy() (not a view) before writing file, to prevent obsp sparse indexing errors during serialization (PR #1138).

openpipelines 4.0.2

BUG FIXES

convert/from_cellranger_multi_to_h5mu: fix converting Cell Ranger output that contains no feature reference CSV file (PR #1136)

openpipelines 4.0.1

BUG FIXES

Fix parsing of CSV's failing when using remote paths (S3), causing an InvocationTargetException error (PR #1133).

openpipelines 4.0.0

BREAKING CHANGES

mapping/cellranger_multi: bump Cell Ranger to version 10 (PR #1103 and #1119).
Removed cellbender_remove_background_v0_2 (PR #1111).
convert/from_cellranger_multi_to_h5mu: VDJ related output is now stored in AIRR Rearrangement standard. Because one cell can have multiple receptor chains, this relationship is represented as an awkward array stored in .obsm["airr"] slot of the VDJ modality (PR #1109 and PR #1130).
workflows/annotation/totalvi_scarches_leiden and annotate/totalvi_scarches: Renamed previously implemented versions of workflows/annotation/totalvi_leiden and annotate/totalvi to reflect that scArches is used for reference mapping with TotalVI (PR #1092).

NEW FUNCTIONALITY

convert/from_cellranger_multi_to_h5mu: add support for Cell Ranger 10 (PR #1109).
filter/filter_with_pattern: Filters a MuData object based on gene names using a regex pattern (PR #1070).
filter/delimit_counts: Turns an .obs column of a MuData file containing count data into a boolean column based on thresholds (PR #1069)
convert/from_seurat_to_h5mu: Converts a Seurat object to a MuData object (PR #1078, #1079, #1082).
annotate/celltypist: Enable CUDA acceleration for CellTypist annotation (PR #1091).
workflows/annotation/celltypist: Performs lognormalization (target count of 10000) followed by cell type annotation using CellTypist (PR #1083, #1114).
workflows/integration/harmony_leiden: add support for adding the output slots to a tileDB-SOMA database (PR #1095).
dataflow/concatenate_h5mu: optionally perform block-diagonal concatenation of specified .obsp keys using --obsp_keys across input MuData objects (PR #1115).
workflows/annotation/totalvi_leiden and annotate/totalvi: Added new workflows and components for cell type annotation using TotalVI integration followed by Leiden clustering, without scArches reference mapping (PR #1092).

EXPERIMENTAL

differential_expression/deseq2: Performs differential expression analysis using DESeq2 on bulk or pseudobulk datasets (PR #1044).
workflows/differential_expression/pseudobulk_deseq2: Workflow for generating pseudobulk samples from single-cell data followed by DESeq2 differential expression analysis (PR #1044)
differential_expression/create_pseudobulks: Removed functionality to filter pseudobulk samples based on number of aggregated samples threshold, as this functionality is now covered in filter/delimit_count (PR #1044).
Deprecated all scGPT functionality (PR #1075).
Added from_tiledb_to_h5mu component (PR #1068).
workflows/integration/scvi_leiden: add support for adding the output slots to a tileDB-SOMA database (PR 1094).

MAJOR CHANGES

mapping/samtools_sort has been deprecated and will be removed in openpipeline 4.0. Use vsh://biobox/samtools/samtools_sort instead.

MINOR CHANGES

Bump scanpy to 1.11.4 (PR #1131)
integrate/totalvi_scvarches: bump version of scvi-tools in component from 1.3.2 to 1.4.1 (PR #1129)
totalvi, celltypist, scanvi and scarches: change container image to pytorch/pytorch:2.9.1-cuda12.8-cudnn9-runtime (PR #1116 and PR #1129)
transform/normalize_total, transform/clr, transform/log1p: Add disk resource labels (PR #1073).
integrate/totalvi: Add --obs_size_factor, --obs_categorical_covariate and --obs_continuous_covariate arguments to include additional covariates during model training (PR #1076).
workflows/integration: Surface --obs_size_factor, --obs_categorical_covariate and --obs_continuous_covariate in the totalvi_leiden and scvi_leiden workflows (PR #1076).
integrate/scarches and workflows/annotate/scanvi_scarches: Enable correction for technical variability by multiple continuous and categorical covariates.
Various components and workflows in integrate, annotate, workflows/integration and workflows/annotation: Optionally disable ensembl id sanitation (by stripping the version number) using the --sanitize_ensembl_ids argument (PR #1084).
genetic_demux/scsplit: bump python to 3.13 and unpin pandas and numpy (were pinned to <2.0 and <2 respectively) (PR #1096).
Bump anndata to 0.12.7 and mudata to 0.3.2 (PR #1111 and PR #1125).

BUG FIXES

workflows/cellranger_multi: fix ocm_barcode_ids, min_crispr_umi, emptydrops_minimum_umis and hashtag_ids arguments not being applied (PR #).
differential_expression/create_pseudobulks: Fixed the check to verify that the raw counts layer was passed (PR #1072).
filter/filter_with_counts: this component would sometimes crash (segfault) when processing malformatted sparse matrices. A proper error message is now provided in this case (PR #1086).
cluster/leiden: fix an issue where using an input modality with missing.X caused KeyError (Unable to synchronously open object) (PR #1093).

openpipelines 3.0.0

BREAKING CHANGES

transfer/publish: remove component after deprecating it in 2.1.0 (PR #1019).
Removed split_h5mu_train_test component (PR #1020).
tar_extract has been deprecated and will be removed in openpipeline 4.0 (PR #1014). Use vsh://toolbox/bgzip instead.
compress_h5mu: rename compression argument to output_compression (PR #1017, PR #1018).
delimit_fraction: remove unused layer argument (PR #1018).
download_file has been deprecated and will be removed in openpipeline 3.0 (PR #1015).
scarches: Loading of legacy models no longer asumes the model to based on SCANVI. An argument (reference_class) was added which need to be set in this case (PR #1035).
convert/from_h5mu_to_seurat has been deprecated and will be removed in openpipeline 4.0. Use convert/from_h5mu_or_h5ad_to_seurat instead (PR #1046).

NEW FUNCTIONALITY

liana: enabled jobs to be run in parallel and added two new arguments: consensus_opts, de_method (PR #1039)
from_h5mu_or_h5ad_to_seurat: converts an h5ad file or a single modality from an h5mu file to a seurat object (PR #1046).

EXPERIMENTAL

Warning: These experimental features are subject to change in future releases.

Added from_h5mu_or_h5ad_to_tiledb component (PR #1034).
Added differential_expression/create_pseudobulk: Generation of pseudobulk samples from single-cell transcriptomics data, to create bulk-like expression profiles suitable for differential expression analysis with methods designed for bulk differential expression analysis (PR #1042).
Added annotate/singler: Cell type annotation using SingleR (PR #1051).
Added tiledb_soma_healthcheck component (PR #1055).
Added tiledb/move_mudata_obsm_to_tiledb (PR #1065).

MAJOR CHANGES

mapping/cellranger_*: Upgrade CellRanger to v9.0 (PR #992 and #1006).
leiden: bump base container to 3.13 (PR #1030).
scanvi, scarches, scvi and totalvi: bump scvi-tools to 1.3.1 and base image to nvcr.io/nvidia/pytorch:25.05-py3 (PR #1035).
lianapy: update liana to 1.5.0 (PR #1039)

MINOR CHANGES

velocyto: pin base container to python:3.10-slim-bookworm (PR #1063).
mapping/cellranger_multi: The output from Cell Ranger is now displayed as Cell Ranger is running (PR #1045).
Remove workflows directory (PR #993). The workflows which were at one point in this directory were all deprecated and moved to src/workflows.
Move output file compression argument for AnnData and MuData files to a base config file (src/base/h5_compression_argument.yaml) (PR #1017).
Add missing descriptions to components and arguments (PR #1018).
Add scope to component and workflow configurations (see https://viash.io/reference/config/scope.html) (PR #1013 and #1032).
workflows/multiomics/process_samples: Add optional --skip_scrublet_doublet_detection flag to bypass Scrublet doublet detection. Scrublet doublet detection runs by default and can now be optionally disabled (PR #1049).
Nextflow runner: use resourceLimits directive in the labels config to set a global limit on the memory (PR #1060).

BUG FIXES

cellranger_multi: Fix error when running Cell Ranger without any computational resources specified (PR #1056)
Bump viash to 0.9.4. This adds support for nextflow versions starting major version 25.01 and fixes an issue where an integer being passed to a argument with type: double resulted in an error (PR #1016).
Fix running neigbors_leiden_umap workflow with -stub enabled (PR #1026).
Add missing CUDA enabled jaxlib to components that use scvi-tools (scanvi, scarches, scvi and totalvi) (PR #1028)
leiden: fix issue where the logging system was shut down prematurely after the calculations were done (PR #1030)
Added missing gpu label to scarches component (PR #1027).
conversion/from_cellranger_multi_to_h5mu: fix conversion to MuData for experiments that combine probe barcodes with other feature barcodes (e.g. Antibody Capture and CIRSPR Guide Capture) (PR #1062).

openpipelines 2.1.2

DOCUMENTATION

Update README (PR #1024, backported from #1012).

openpipelines 2.1.1

BUG FIXES

Add support for nextflow versions starting major version 25.01 (PR #1009).
Fix an issue where an interger being passed to a argument with type: double resulted in an error (PR #1009).

openpipelines 2.1.0

BREAKING CHANGES

Deprecation of metadata/duplicate_obs and metadata/duplicate_var components (PR #952).
Deprecation of workflows/annotation/scgpt_integration_knn component (PR #952).
annotate/scanvi: Remove scarches functionality from this component, as it is already covered in integrate/scarches (PR #986).

NEW FUNCTIONALITY

dataflow/concatenate_h5mu: add modality parameter (PR #977).
filter_with_scrublet: add expected_doublet_rate, stdev_doublet_rate, n_neighbors and sim_doublet_ratio arguments (PR #974).
feature_annotation/aling_query_reference: Added a component to align a query and reference dataset (PR #948, #958, #972).
workflows/qc/qc workflow: Added ribosomal gene detection (PR #961).
workflows/rna/rna_singlesample, workflows/multiomics/process_samples workflows: Added ribosomal gene detection (PR #968).
scanvi: enable CUDA acceleration (PR #969).
workflows/annotation/scvi_knn workflow: Cell-type annotation based on scVI integration followed by KNN label transfer (PR #954).
convert/from_h5ad_to_seurat: Add component to convert from h5ad to Seurat (PR #980).
workflows/annotation/scanvi_scarches workflow: Cell-type annotation based on scANVI integration and annotation with scArches for reference mapping (PR #898).
integrate/scarches: Implemented functionality to align the query dataset with the model registry and extend functionality to predict labels for scANVI models (PR #898).
workflows/annotation/harmony_knn workflow: Cell-type annotation based on harmony integration with KNN label transfer (PR #836).
from_cellranger_multi_to_h5mu: add support for custom modality (PR #982).
integrate/scvi: Enable passing any .var field for gene name information instead of .var index, using the --var_gene_names parameter (PR #986).

MAJOR CHANGES

Several components: when a component processes a single modality, only that modality is read into memory (PR #944)
The transfer/publish component is deprecated and will be removed in a future major release (PR #941).

MINOR CHANGES

Bump viash to 0.9.3 (PR #995).
Several workflows: refactor neighbors, leiden and UMAP in a separate subworkflow (PR #942 and PR #949).
grep_annotation_column and subset_obsp: Fix compatibility for SciPy (PR #945).
popv: Pin numpy<2 after new release of scvi-tools (PR #946).
Various components (scgpt and annotate): Add resource labels (PR #947, PR #950).
feature_annotation/highly_variable_features_scanpy: Enable calculation of HVG on a subset of genes (PR #957, PR #959).
integrate/scvi, integrate/totalvi and integrate/scarches: update base image to nvcr.io/nvidia/pytorch:24.12-py3, pin scvi-tools version to 1.1.5, unpin jax and jaxlib version (PR #970).
annotate/celltypist: Enable passing any layer with log normalized counts, enforce checking whether counts are log normalized (PR #971).
process_10xh5/filter_10xh5: update container base to ubuntu 24.04 (PR #983).

BUG FIXES

Fix -stub runs (PR #1000).
cluster/leiden: Fix an issue where insufficient shared memory (size of /dev/shm) causes the processing to hang.
utils/subset_vars: Convert .var column used for subsetting of dtype "boolean" to dtype "bool" when it doesn't contain NaN values (PR #959).
resources_test_scripts/annotation_test_data.sh: Add a layer to the annotation reference dataset with log normalized counts (PR #960).
annotate/celltypist: Fix missing values in annotation column caused by index misalignment (PR #976).
workflows/annotation/scgpt_annotation and workflows/integrate/scgpt_leiden: Parameterization of HVG flavor with default method cell_ranger instead of seurat_v3 (PR #979).
dataflow/merge: Resolved an issue where merging two MuData objects with overlapping var or obs columns sometimes resulted in an unsupported nullable dtype (e.g. merging pd.IntegerDtype and pd.FloatDtype). These columns are now correctly cast to their native numpy dtypes before writing(PR #990).
workflows/annotation/harmony_knn: Only process RNA modality in the workflow (PR #988).

openpipelines 2.0.0

BREAKING CHANGES

velocity/scvelo: update scvelo to 0.3.3, which also removes support for using loom input files. The component now uses a MuData object as input. Several arguments were added to support selecting different inputs from the MuData file: counts_layer, modality, layer_spliced, layer_unspliced, layer_ambiguous. An output_h5mu argument was has been added (PR #932).
src/annotate/onclass and src/annotate/celltypist: Input parameter for gene name layers of input datasets has been updated to --input_var_gene_names and reference_var_gene_names (PR #919).
Several components under src/scgpt (cross_check_genes, tokenize_pad, binning) now processes the input (query) datasets differently. Instead of subsetting datasets based on genes in the model vocabulary and/or highly variable genes, these components require an input .var column with a boolean mask specifying this information. The results are written back to the original input data, preserving the dataset structure (PR #832).
query/cellxgene_census: The default output layer has been changed from .layers["counts"] to .X to be more aligned with the standard OpenPipelines format (PR #933). Use argument --output_layer_counts counts to revert the behaviour to the previous default.

NEW FUNCTIONALITY

velocyto_to_h5mu: now writes counts to .X (PR #932)
qc/calculate_atac_qc_metrics: new component for calculating ATAC QC metrics (PR #868).
workflows/annotation/scgpt_annotation workflow: Added a scGPT transformer-based cell type annotation workflow (PR #832).
workflows/annotation/scgpt_integration_knn workflow: Cell-type annotation based on scGPT integration with KNN label transfer (PR #875).
CI: Use params.resources_test in test workflows in order to point to an alternative location (e.g. a cache) (PR #889).

MINOR CHANGES

Pin scikit-learn for labels_transfer/xgboost to <1.6 (PR #931).
filter/filter_with_scrublet: provide cleaner error message when running scrublet on an empty modality (PR #929).
Several component (cleanup): remove workaround for using being able to use shared utility functions with Nextflow Fusion (PR #920).
scgpt/cell_type_annotation component update: Added support for multi-processing (PR #832).
Several annotation (src/annotate/) components (onclass, celltypist, random_forest_annotation, scanvi, svm_annotation): Updated input parameteres to ensure uniformity across components, implemented functionality to cross-check the overlap of genes between query and reference (model) datasets and implemented logic to allow for subsetting of genes (PR #919).
workflows/annotation/scgpt_annotation workflow: Added a scGPT transformer-based cell type annotation workflow (PR #832).
scgpt/cross_check_genes component update: Highly variable genes are now cross-checked based on the boolean mask in var_input. The filtering information is stored in the --output_var_filter .var field instead of subsetting the dataset (PR #832).
scgpt/binning component update: This component now requires the --var_input parameter to provide gene filtering information. Binned data is written to the --output_obsm_binned_counts .obsm field in the original input data (PR #832).
scgpt/pad_tokenize component update: Genes are padded and tokenized based on filtering information in --var_input and --input_obsm_binned_counts (PR #832).
resources_test_scripts/scgpt.sh: Update scGPT test resources to avoid subsetting of datasets (PR #926).
workflows/integration/scgpt_leiden workflow update: Update workflow such that input dataset is not subsetted for HVG but uses boolean masks in .var field instead (PR #875).

BUG FIXES

scvi_leiden workflow: fix the input layer argument of the workflow not being passed to the scVI component (PR #936 and PR #938).
scgpt/embedding: remove unused argument dbsn (PR #875).
scgpt/binning: update handling of empty rows in sparse matrices (PR #875).
dataflow/split_h5mu: Update memory label from lowmem to highmem and cpu label from singlecpu to lowcpu (PR #930).

openpipelines 2.0.0-rc.2

BUG FIXES

annotate/popv: fix popv raising ValueError when an accelerator (e.g. GPU) is unavailable (PR #915).

MINOR CHANGES

dataflow/split_h5mu: Optimize resource usage of the component (PR #913).

openpipelines 2.0.0-rc.1

BREAKING CHANGES

Added cell multiplexing support to the from_cellranger_multi_to_h5mu component and the cellranger_multi workflow. For the from_cellranger_multi_to_h5mu component, the output argument now requires a value containing a wildcard character *, which will be replaced by the sample ID to form the final output file names. Additionally, a sample_csv argument is added to the from_cellragner_multi_to_h5mu component which describes the sample name per output file. No change is required for the output_h5mu argument from the cellranger_multi workflow, the workflow will just emit multiple events in case of a multiplexed run, one for each sample. The id of the events (and default output file names) are set by --sample_ids (in case of cell multiplexing), or (as before) by the user provided id for the input (PR #803 and PR #902).
demux/bcl_convert: update BCL convert from 3.10 to 4.2 (PR #774).
demux/cellranger_mkfastq, mapping/cellranger_count, mapping/cellranger_multi and reference/build_cellranger_reference: update cellranger to 8.0.1 (PR #774 and PR #811).
Removed --disable_library_compatibility_check in favour of --check_library_compatibility to the mapping/cellranger_multi component and the ingestion/cellranger_multi workflow (PR #818).
lianapy: bumped version to 1.3.0 (PR #827 and PR #862). Additionally, groupby is now a required argument.
concat: this component was deprecated and has now been removed, use concatenate_h5mu instead (PR #796).
The workflows folder in the root of the project no longer contains symbolic links to the build workflows in target. Using any workflows that was previously linked in this directory will now result in an error which will indicate the location of the workflow to be used instead (PR #796).
XGBoost: bump version to 2.0.3 (PR #646).
Several components: update anndata to 0.11.1 and mudata to 0.3.1 (PR #645 and PR #901), and scanpy to 1.10.4 (PR #901).
filter/filter_with_hvg: this component was deprecated and has now been removed. Use feature_annotation/highly_variable_features_scanpy instead (PR #843).
dataflow/concat: this component was deprecated and has now been removed. Use dataflow/concatenate_h5mu instead (PR #857).
convert/from_h5mu_to_seurat: bump seurat to latest version (PR #850).
workflows/ingestion/bd_rhapsody: Upgrade BD Rhapsody 1.x to 2.x, thereby changing the interface of the workflow (PR #846).
mapping/bd_rhapsody: Upgrade BD Rhapsody 1.x to 2.x, thereby changing the interface of the workflow (PR #846).
reference/make_bdrhap_reference: Upgrade BD Rhapsody 1.x to 2.x, thereby changing the interface of the workflow (PR #846).
reference/build_star_reference: Rename mapping/star_build_reference to reference/build_star_reference (PR #846).
reference/cellranger_mkgtf: Rename reference/mkgtf to reference/cellranger_mkgtf (PR #846).
labels_transfer/xgboost: Align interface with new annotation workflow
- Store label probabilities instead of uncertainties
- Take .h5mu format as an input instead of .h5ad
reference/build_cellranger_arc_reference: a default value of "output" is now specified for the argument --genome, inline with reference/build_cellranger_reference component. Additionally, providing a value for --organism is no longer required and its default value of Homo Sapiens has been removed (PR #864).

MAJOR CHANGES

Bump popv to 0.4.2 (PR #901)

NEW FUNCTIONALITY

Added demux/cellranger_atac_mkfastq component: demultiplex raw sequencing data for ATAC experiments (PR #726).
process_samples, process_batches and rna_multisample workflows: added functionality to scale the log-normalized gene expression data to unit variance and zero mean. The scaled data will be output to a different layer and the representation with reduced dimensions will be created and stored in addition to the non-scaled data (PR #733).
transform/scaling: add --input_layer and --output_layer arguments (PR #733).
CI: added checking of mudata contents for multiple workflows (PR #783).
Added multiple arguments to the cellranger_multi workflow in order to maintain feature parity with the mapping/cellranger_multi component (PR #803).
convert/from_cellranger_to_h5mu: add support for antigen analysis.
Added demux/cellranger_atac_mkfastq component: demultiplex raw sequencing data for ATAC experiments (PR #726).
Added reference/build_cellranger_reference component: build reference file compatible with ATAC and ATAC+GEX experiments (PR #726).
demux/bcl_convert: add support for no lane splitting (PR #804).
reference/cellranger_mkgtf component: Added cellranger mkgtf as a standalone component (PR #771).
scgpt/cross_check_genes component: Added a gene-model cross check component for scGPT (PR #758).
scgpt/embedding: component: Added scGPT embedding component (PR #761)
scgpt/tokenize_pad: component: Added scGPT padding and tokenization component (PR #754).
scgpt/binning component: Added a scGPT pre-processing binning component (PR #765).
workflows/integration/scgpt_leiden workflow with scGPT integration followed by Leiden clustering (PR #794).
scgpt/cell_type_annotation component: Added scGPT cell type annotation component (PR #798).
resources_test_scripts/scGPT.sh: Added script to include scGPT test resources (PR #800).
transform/clr component: Added the option to set the axis along which to apply CLR. Possible to override on workflow level as well (PR #767).
annotate/celltypist component: Added a CellTypist annotation component (PR #825).
dataflow/split_h5mu component: Added a component to split a single h5mu file into multiple h5mu files based on the values of an .obs column (PR #824).
workflows/test_workflows/ingestion components & workflows/ingestion: Added standalone components for integration testing of ingestion workflows (PR #801).
workflows/ingestion/make_reference: Add additional arguments passed through to the STAR and BD Rhapsody reference components (PR #846).
annotate/random_forest_annotation component: Added a random forest cell type annotation component (PR #848).
dataflow/concatenate_h5mu: data from .uns, both originating from the global and per-modality slots, is now retained in the final concatenated output object. Additionally, added the uns_merge_mode argument in order to tune the behavior when conflicting keys are detected across samples (PR #859).
dimred/densmap component: Added a densMAP dimensionality reduction component (PR #748).
annotate/scanvi component: Added a component to annotate cells using scANVI (PR #833).
transform/bpcells_regress_out component: Added a component to regress out effects of confounding variables in the count matrix using BPCells (PR #863).
transform/regress_out: Allow providing 'input' and 'output' layers for scanpy regress_out functionality (PR #863).
workflows/ingestion/make_reference: add possibility to build CellRanger ARC references. Added --motifs_file, --non_nuclear_contigs and --output_cellranger_arc arguments (PR #864).
Test resources (reference_gencodev41_chr1): switch reference genome for CellRanger to ARC variant (PR #864).
transform/bpcells_regress_out component: Added a component to regress out effects of confounding variables in the count matrix using BPCells (PR #863).
transform/regress_out: Allow providing 'input' and 'output' layers for scanpy regress_out functionality (PR #863).
Added transform/tfidf component: normalize ATAC data with TF-IDF (PR #870).
Added dimred/lsi component (PR #552).
metadata/duplicate_obs component: Added a component to make a copy from one .obs field or index to another .obs field within the same MuData object (PR #874, PR #899).
annotate/onclass: component: Added a component to annotate cell types using OnClass (PR #844).
annotate/svm component: Added a component to annotate cell types using support vector machine (SVM) (PR #845).
metadata/duplicate_var component: Added a component to make a copy from one .var field or index to another .var field within the same MuData object (PR #877, PR #899).
filter/subset_obsp component: Added a component to subset an .obsp matrix by column based on the value of an .obs field. The resulting subset is moved to an .obsm field (PR #888).
labels_transfer/knn component: Enable using additional distance functions for KNN classification (PR #830) and allow to perform KNN classification based on a pre-calculated neighborhood graph (PR #890).

MINOR CHANGES

Several components: bump python version (PR #901).
resources_test_scripts/cellranger_atac_tiny_bcl.sh script: generate counts from fastq files using CellRanger atac count (PR #726).
cellbender_remove_background_v0_2: update base image to nvcr.io/nvidia/pytorch:23.12-py3 (PR #646).
Bump scvelo to 0.3.2 (PR #828).
Pin numpy<2 for several components (PR #815).
Added resources_test_scripts/cellranger_atac_tiny_bcl.sh script: download tiny bcl file with an ATAC experiment, download a motifs file, demultiplex bcl files to reads in fastq format (PR #726).
mapping/cellranger_multi component now outputs logs on failure of the cellranger multi process (PR #766).
Bump viash-actions to v6 (PR #821).
reference/make_reference: Do not try to extract genome fasta and transcriptome gtf if they are not gzipped (PR #856).
Changes related to syncing the test resources (PR #867):
- Add .info.test_resources to _viash.yaml to specify where test resources need to be synced from.
- download/sync_test_resources: Use .info.test_resources in _viash.yaml to detect where test resources need to be synced from.
- Update CI to use project/sync-and-cache instead of project/sync-and-cache-s3.

BUG FIXES

Fix failing tests for ingestion/cellranger_postprocessing, ingestion/conversion and multiomics/process_batches (PR #869).
convert/from_10xh5_to_h5mu: add .uns slot to mdata root when metrics file is provided (PR #887).
Fix ingestion components not working when optional arguments are unset (PR #894).
transform/normalize_total component: pass the target_sum argument to sc.pp.normalize_total() (PR #823).
from_cellranger_multi_to_h5mu: fix missing pytest dependency (PR #897).

DOCUMENTATION

Update authorship of components (PR #835).

openpipelines 1.0.4

BUG FIXES

scvi_leiden workflow: fix the input layer argument of the workflow not being passed to the scVI component (PR #939, backported from PR #936 and PR #938).

openpipelines 1.0.3

BUG FIXES

qc/calculate_qc_metrics: increase total counts accuracy with low precision floating dtypes as input layer (PR # , backported from PR #852).

openpipelines 1.0.2

BUG FIXES

dataflow/concatenate_h5mu: fix writing out multidimensional annotation dataframes (e.g. .varm) that had their data dtype (dtype) changed as a result of adding more observations after concatenation, causing TypeError. One notable example of this happening is when one of the samples does not have a multimodal annotation dataframe which is present in another sample; causing the values being filled with NA (PR #842, backported from PR #837).

openpipelines 1.0.1

BUG FIXES

Bump viash to 0.8.6 (PR #816, backported from #815). This changes the at-runtime generated nextflow process from an in-memory to an on-disk temporary file, which should cause less issues with Nextflow Fusion.

openpipelines 1.0.0-rc6

BUG FIXES

dataflow/concatenate_h5mu: fix regression bug where observations are no longer linked to the correct metadata after concatenation (PR #807)

openpipelines 1.0.0-rc5

BUG FIXES

cluster/leiden: prevent leiden component from hanging when a child process is killed (e.g. when there is not enough memory available) (PR #805).

openpipelines 1.0.0-rc4

BREAKING CHANGES

query/cellxgene_census: Refactored the interface, documentation and internal workings of this component (PR #621).
- Renamed arguments to align with standard OpenPipelines notations and cellxgene census API:
  - --input_database became --input_uri
  - --cellxgene_release became --census_version
  - --cell_query became --obs_value_filter
  - --cells_filter_columns became --cell_filter_grouping
  - --min_cells_filter_columns became --cell_filter_minimum_count
  - --modality became --output_modality
  - Removed --dataset_id since it was no longer being used.
  - Added --add_dataset_meta to add metadata to the output MuData object.
- Documentation of the component and its arguments was improved.

BUG FIXES

mapping/cellranger_multi: Fix the regex for the fastq input files to allow dropping the lane from the input file names (e.g. _L001) (PR #778).
workflows/rna/rna_singlesample: Fix argument passing top_n_vars and obs_name_mitochondrial_fraction to the qc subworkflow (PR #779).

openpipelines 1.0.0-rc3

BREAKING CHANGES

Docker image names now use / instead of _ between the name of the component and the namespace (PR #712).

BUG FIXES

rna_singlesample: fixed a bug where selecting the column for the filtering with mitochondrial fractions using obs_name_mitochondrial_fraction was done with the wrong column name, causing ValueError (PR #743).
Fix publishing in process_samples and process_batches (PR #759).

NEW FUNCTIONALITY

dimred/tsne component: Added a tSNE dimensionality reduction component (PR #742).

openpipelines 1.0.0-rc2

BUG FIXES

Cellranger multi: Fix using a relative input path for --vdj_inner_enrichment_primers (PR #717)
dataflow/split_modalities: remove unused compression argument. Use output_compression instead (PR #714).
metadata/grep_annotation_column: fix calculating fraction when an input observation has no counts, which caused the result to be out of bounds.
Fix --output argument not working for several workflows (PR #740).

MINOR CHANGES

metadata/grep_annotation_column: Added more logging output (PR #697).
metadata/add_id and metadata/grep_annotation_column: Bump python to 3.11 (PR #697).
Bump viash to 0.8.5 (PR #697)
dataflow/split_modalities: add more logging output and bump python to 3.12 (PR #714).
correction/cellbender: Update nextflow resource labels from singlecpu and lowmem to midcpu and midmem (PR #736)

openpipelines 1.0.0rc1

BREAKING CHANGES

Change separator for arguments with multiple inputs from : to ; (PR #700 and #707). Now, all arguments with multiple: true will use ; as the separator. This change was made to be able to deal with file paths that contain :, e.g. s3://my-bucket/my:file.txt. Furthermore, the ; separator will become the default separator for all arguments with multiple: true in Viash >= 0.9.0.
This project now uses viash version 0.8.4 to build components and workflows. Changes related to this version update should be mostly backwards compatible with respect to the results and execution of the pipelines. From a development perspective, drastic updates have been made to the developemt workflow.

Development related changes:
- Bump viash version to 0.8.4 (PR #598, PR#638 and #706) in the project configuration.
- All pipelines no longer use the anonymous workflow. Instead, these workflows were given a name which was added to the viash config as the entrypoint to the pipeline (PR #598).
- Removed the workflows folder and moved its contents to new locations:
  1. The resources_test_scripts folder now resides in the root of the project (PR #605).
  2. All workflows have been moved to the src/workflows folder (PR #605). This implies that workflows must now be build using viash (ns) build, just like with components.
  3. Adjust GitHub Actions to account for new workflow paths (PR #605).
  4. In order to be backwards compatible, the workflows folder now contains symbolic links to the build workflows in target. This is not a problem when using the repository for pipeline execution. However, if a developer wishes to contribute to the project, symlink support should be enabled in git using git config core.symlinks=true. Alternatively, use git clone -c core.symlinks=true git@github.com:openpipelines-bio/openpipeline.git when cloning the repository. This avoids the symlinks being resolved (PR #628). 4bis. With PR #668, the workflows have been renamed. This does not hamper the backwards compatibility of the symlinks that have been described in 4, because they still use the original location which includes the original name. * multiomics/rna_singlesample has been renamed to rna/process_single_sample, * multiomics/rna_multisample has been renamed to rna/rna_multisample, * multiomics/prot_multisample became prot/prot_multisample, * multiomics/prot_singlesample became prot/prot_singlesample, * multiomics/full_pipeline was moved to multiomics/process_samples, * multiomics/multisample has been renamed to multiomics/process_batches, * multiomics/integration/initialize_integration changed to multiomics/dimensionality_reduction, * finally, all workflows at multiomics/integration/* were moved to integration/*
  5. Removed the workflows/utils folder. Functionality that was provided by the DataflowHelper and WorkflowHelper is now being provided by viash when the workflow is being build (PR #605).
End-user facing changes:
- The concat component had been deprecated and will be removed in a future release. It's functionality has been copied to the concatenate_h5mu component because the name is in conflict with the concat operator from nextflow (PR #598).
- prot_singlesample, rna_singlesample, prot_multisample and rna_multisample: QC statistics are now only calculated once where needed. This means that the mitochondrial gene detection is performed in the rna_singlesample pipeline and the other count based statistics are calculated during the prot_multisample and rna_multisample pipelines. In both cases, the qc pipeline is being used, but only parts of that workflow are activated by parametrization. Previously the count based statistics were calculated in both the singlesample and multisample pipelines, with the results from the multisample pipelines overwriting the previous results. What is breaking here is that the qc statistics are not being added to the results of the singlesample worklows. This is not an issue when using the full_pipeline because in this case the singlesample and multisample workflows are executed in-tandem. If you wish to execute the singlesample workflows in a seperate manner and still include count based statistics, please run the qc pipeline on the result of the singlesample workflow (PR #604).
- filter/filter_with_hvg has been renamed to feature_annotation/highly_variable_features_scanpy, along with the following changes (PR #667).
  - --do_filter was removed
  - --n_top_genes has been renamed to --n_top_features
- full_pipeline, multisample and rna_multisample: Renamed arguments (PR #667).
  - --filter_with_hvg_var_output became --highly_variable_features_obs_batch_key
  - --filter_with_hvg_obs_batch_key became --highly_variable_features_var_output
- rna_multisample: Renamed arguments (PR #667).
  - --filter_with_hvg_n_top_genes became --highly_variable_features_n_top_features
  - --filter_with_hvg_flavor became --highly_variable_features_flavor
Renamed obsm_metrics to uns_metrics for the cellranger_mapping workflow because the cellranger metrics are stored in .uns and not .obsm (PR #610).

MAJOR CHANGES

mapping/cellranger_mkfastq: update from cellranger 6.0.2 to 7.0.1 (PR #675)

NEW FUNCTIONALITY

multisample pipeline: This workflow now works when provided multimple unimodal files or multiple multimodal files, in addition to the previously supported single multimodal file (PR #606). The modalities are processed independently from each other:
- As before, a single multimodal file is split into several unimodal MuData objects, each modality being stored in a file.
- (New) When multiple unimodal files are provided, they can be used used as is.
- (New) Mosaic input (i.e. multiple uni- or multimodal files) are split into unimodal files. Providing the same modality twice is not supported however, meaning the modalities should be unique. For example, using input: ["data1.h5mu", "data2.h5mu"] with data1.h5mu providing data for rna and atac and data2.h5mu for rna and prot will not work, because the rna modality is present in both input files.
multisample workflow: throw an error when argument values for the merge component or the initialize_integration workflow differ between the inputs (PR #606).
Added a split_modalities workflow in order to split a multimodal mudata files into several unimodal mudata files. Its behavior is identical to the split_modalities component, but it also provides functionality to make sure everything works when nextflow's -stub option is enabled (PR #606).
All workflow now use dependencies to handle includes from other workflows (PR #606).
qc/calculate_qc_metrics: allow setting the output column names and disabling the calculation of several metrics (PR #644).
rna_multisample, prot_multisample and qc workflows: allow setting the output column names and disabling the calculation of several metrics (PR #606).
cluster/leiden: Allow calculating multiple resolutions in parallel (PR #645).
qc/calculate_qc_metrics: allow setting the output column names and disabling the calculation of several metrics (PR #644).
rna_multisample workflow: added --modality argument (PR #607).
multisample workflow: in addition to using multimodal files as input, this workflow now also accepts a list of files. The list of files must be the unimodal equivalents of a split multimodal file. The modalities in the list must be unique and after processing the modalities will be merged into multimodal files (PR #606).
Added filter/intersect_obs component which removes observations that are not shared between modalities (PR #589).
Re-enable convert/from_h5mu_to_seurat component (PR #616).
Added the gdo_singlesample pipeline with basic count filtering (PR #672).
process_samples pipeline: the --rna_layer, --prot_layer and gdo_layer argument can not be used to specify an alternative layer to .X where the raw data are stored. To enable this feature, the following changes were required:
- Added transform/move_layer component.
- filter/filter_with_scrublet: added --layer argument.
- transform/clr: added --input_layer argument.
- metadata/grep_annotation_column: added --input_layer argument.
- rna/rna_singlesample, rna/rna_multisample, prot/prot_singlesample and prot/prot_multisample: add --layer argument.
- process_batches: Added rna_layer and prot_layer arguments.
Enable dataset functionality for nf-tower (PR #701)
Added annotate/score_genes and annotate/score_genes_cell_cycle to calculate scanpy gene scores (PR #703).

MINOR CHANGES

Refactored rna_multisample (PR #607), cellranger_multi (PR #609), cellranger_mapping (PR #610) and other (PR #606) pipelines to use fromState and toState functionality.
metadata/add_id: add more runtime logging (PR #663).
cluster/leiden: Bump python to 3.11 and leidenalg to 0.10.0 (PR #645).
mapping/htseq_count_to_h5mu and multi_star: update polars and gtfparse (PR #642).
Pin from_h5mu_to_seurat to use Seurat to version 4 (PR #630).
velocity/scvelo: bump scvelo to 0.3.1 and python to 3.10 (PR #640).
Updated the Viash YAML schemas to the latest version of Viash (PR #620).
build_cellranger_reference and build_bdrhap_reference: Bump go version to 1.21.4 when building seqkit for testing the component (PR #624 and PR #637).
correction/cellbender_remove_background: Remove muon as a test dependency (PR #636).
(Automatic testing) Update viashpy to 0.6.0 (PR #665).
integrate/scarches, integrate/scvi, velocity/scvelo and integrate/totalvi: pin jax, jaxlib to <0.4.23 (PR #699).
integrate/scvi: Unpin numba and pin scvi-tools to 1.0.3 (PR #699).
integrate/totalvi: Enable GPU-accelerated computing, unpin torchmetrics and pin jax, jaxlib to <0.4.23 (PR #699).

BUG FIXES

transform/log1p: fix --input_layer argument not functioning (PR #678).
dataflow/concat and dataflow/concatenate_h5mu: Fix an issue where using --mode move on samples with non-overlapping features would cause var_names to become unaligned to the data (PR #653).
filter/filter_with_scrublet: (Testing) Fix duplicate test function names (PR #641).
dataflow/concatenate_h5mu and dataflow/concat: Fix TypeError when using mode 'move' and a column with conflicting metadata does not exist across all samples (PR #631).
dataflow/concatenate_h5mu and dataflow/concat: Fix an issue where joining columns with different datatypes caused TypeError (PR #619).
qc/calculate_qc_metrics: Resolved an issue where statistics based on the input columns selected with --var_qc_metrics were incorrect when these input columns were encoded in pd.BooleanDtype() (PR #685).
move_obsm_to_obs: fix setting output columns when they already exist (PR #690).
workflows/dimensionality_reduction workflow: nearest neighbour calculations no longer recalcalates the PCA when obm_input --obsm_pca is not set to X_pca.
feature_annotation/highly_variable_scanpy: fix .X being used to remove observations with 0 counts when --layer has been specified.
filter/filter_with_counts: fix --layer argument not being used.
transform/normalize_total: fix incorrect layer being written to the output when the input layer if not .X.
src/workflows/qc: fix input layer not being taken into account when calculating the fraction of mitochondrial genes (always used .X).
convert/from_cellranger_multi_to_h5mu: fix metric values not repesented as percentages being devided by 100. (#704).

openpipelines 0.12.1

BUG FIXES

rna_singlesample: Fix filtering parameters values min_counts, max_counts, min_genes_per_cell, max_genes_per_cell and min_cells_per_gene not being passed to the filter_with_counts component (PR #614).
prot_singlesample: Fix filtering parameters values min_counts, max_counts, min_proteins_per_cell, max_proteins_per_cell and min_cells_per_protein not being passed to the filter_with_counts component (PR #614).

openpipelines 0.12.0

BREAKING CHANGES

The detection of mitochondrial genes has been revisited in order to remove the interdependency with the count filtering and the QC metric calculation. Implementing this changes involved breaking some existing functionality:

filter/filter_with_counts: removed --var_gene_names, --mitochondrial_gene_regex, --var_name_mitochondrial_genes, --min_fraction_mito and --max_fraction_mito (PR #585).
workflows/prot_singlesample: removed --min_fraction_mito and --max_fraction_mito because regex-based detection detection of mitochondrial genes is not possible (PR #585).
The fraction of counts that originated from mitochondrial genes used to be written to an .obs column with a name that was derived from pct_ suffixed by the name of the mitochondrial gene column. The --obs_name_mitochondrial_fraction argument is introduced to change the destination column and the default prefix has changed from pct_ to fraction_ (PR #585).

NEW FUNCTIONALITY

workflows/qc: A pipeline to add basic qc statistics to a MuData object (PR #585).
workflows/rna_singlesample: added --obs_name_mitochondrial_fraction and make sure that the values from --max_fraction_mito and --min_fraction_mito are bound between 0 and 1 (PR #585).
Added filter/delimit_fraction: Turns an annotation column containing values between 0 and 1 into a boolean column based on thresholds (PR #585).
Added metadata/grep_annotation_column: Perform a regex lookup on a column from the annotation matrices .obs or .var (PR #585).
workflows/full_pipelines: added --obs_name_mitochondrial_fraction argument (PR #585).
workflows/prot_multisample: added --var_qc_metrics and --top_n_vars arguments (PR #585).
Added genetic demultiplexing methods cellsnp, demuxlet, freebayes, freemuxlet, scsplit, sourorcell and vireo (PR #343).

MINOR CHANGES

Several components: bump scanpy to 1.9.5 (PR #594).
Refactored prot_multisample and prot_singlesample pipelines to use fromState and toState functionality (PR #585).

openpipelines 0.11.0

BREAKING CHANGES

Nextflow VDSL3: set simplifyOutput to False by default. This implies that components and workflows will output a hashmap with a sole "output" entry when there is only one output (PR #563).
integrate/scvi: rename model_output argument to output_model in order to align with the scvi_leiden workflow. This also fixes a bug with the workflow where the argument did not function (PR #562).

MINOR CHANGES

dataflow/concat: reduce memory consumption when using --other_axis_mode move by processing only one annotation matrix (.var, .obs) at a time (PR #569).
Update viashpy and pin it to 0.5.0 (PR #572 and PR #577).
convert/from_h5ad_to_h5mu, convert/from_h5mu_to_h5ad, dimred/pca, dimred/umap/, filter/filter_with_counts, filter/filter_with_hvg, filter/remove_modality, filter/subset_h5mu, integrate/scanorama, transform/delete_layer and transform/log1p: update python to 3.9 (PR #572).
integrate/scarches: update base image, scvi-tools and pandas to nvcr.io/nvidia/pytorch:23.09-py3, ~=1.0.3 and ~=2.1.0 respectively (PR #572).
integrate/totalvi: update python to 3.9 and scvi-tools to ~=1.0.3 (PR #572).
correction/cellbender_remove_background: change base image to nvcr.io/nvidia/cuda:11.8.0-devel-ubuntu22.04 and downwgrade MuData to 0.2.1 because it is the oldest version that uses python 3.7 (PR #575).
Several integration workflows: prevent leiden from being executed when no resolutions are provided (PR #583).
dataflow/concat: bump pandas to ~=2.1.1 and reduce memory consumption by only reading one modality into memory at a time (PR #568).
annotate/popv: bump jax and jaxlib to 0.4.10, scanpy to 1.9.4, scvi to 1.0.3 and pin ml-dtypes to < 0.3.0 (PR #565).
velocity/scvelo: pin matplotlib to < 3.8.0 (PR #566).
mapping/multi_star: pin multiqc to 1.15.0 (PR #566).
mapping/bd_rhapsody: pin pandas version to <2 (PR #563).
query/cellxgene_census: replaced label singlecpu with label midcpu.
query/cellxgene_census: avoid creating MuData object in memory by writing the modality directly to disk (PR #558).
integrate/scvi: use midcpu label instead of singlecpu (PR #561).

BUG FIXES

transform/clr: raise an error when CLR fails to return the requested output (PR #579).
correction/cellbender_remove_background: fix missing helper functionality when using Fusion (PR #575).
convert/from_bdrhap_to_h5mu: Avoid TypeError: Can't implicitly convert non-string objects to strings by using categorical dtypes when a string column contains NA values (PR #563).
qc/calculate_qc_metrics: fix calculating mitochondrial gene related QC metrics when only or no mitochondrial genes were found (PR #564).

openpipelines 0.10.1

MINOR CHANGES

integration/scvi_leiden: Expose hvg selection argument --var_input (#543, PR #547).

BUG FIXES

integration/bbknn_leiden: Set leiden clustering parameter to multiple (#542, PR #545).
integration/scvi_leiden: Fix component name in Viash config (PR #547).
integration/harmony_leiden: Pass --uns_neighbors argument umap (PR #548).
Add workaround for bug where resources aren't available when using Nextflow fusion by including setup_logger, subset_vars and compress_h5mu in the script itself (PR #549).

openpipelines 0.10.0

BREAKING CHANGES

workflows/full_pipeline: removed --prot_min_fraction_mito and --prot_max_fraction_mito (PR #451)
workflows/rna_multisample and workflows/prot_multisample: Removed concatenation from these pipelines. The input for these pipelines is now a single mudata file that contains data for multiple samples. If you wish to use this pipeline on multiple single-sample mudata files, you can use the dataflow/concat components on them first. This also implies that the ability to add ids to multiple single-sample mudata files prior to concatenation is no longer required, hence the removal of --add_id_to_obs, --sample_id, --add_id_obs_output, and --add_id_make_observation_keys_unique (PR #475).
The scvi pipeline was renamed to scvi_leiden because leiden clustering was added to the pipeline (PR #499).
Upgrade correction/cellbender_remove_background from CellBender v0.2 to CellBender v0.3.0 (PR #523). Between these versions, several arguments related to the slots of the output file have been changed.

MAJOR CHANGES

Several components: update anndata to 0.9.3 and mudata to 0.2.3 (PR #423).
Base resources assigned for a process without any labels is now 1 CPU and 2GB (PR #518).
Updated to Viash 0.7.5 (PR #513).
Removed deprecated variant: vdsl3 tags (PR #513).
Removed unused version: dev (PR #513).
multiomics/integration/harmony_leiden: Refactored data flow (PR #513).
ingestion/bd_rhapsody: Refactored data flow (PR #513).
query/cellxgene_census: increased returned metadata content, revised query option, added filtering strategy and refactored functionality (PR #520).
Refactor loggers using setup_logger() helper function (PR #534).
Refactor unittest tests to pytest tests (PR #534).

MINOR CHANGES

Add resource labels to several components (PR #518).
full_pipeline: default value for --var_qc_metrics is now the combined values specified for --mitochondrial_gene_regex and --filter_with_hvg_var_output.
dataflow/concat: reduce memory consumption by only reading one modality at the same time (PR #474).
Components that use CellRanger, BCL Convert or bcl2fastq: updated from Ubuntu 20.04 to Ubuntu 22.04 (PR #494).
Components that use CellRanger: updated Picard to 2.27.5 (PR #494).
interprete/liana: Update lianapy to 0.1.9 (PR #497).
qc/multiqc: add unittests (PR #502).
reference/build_cellranger_reference: add unit tests (PR #506).
reference/build_bd_rhapsody_reference: add unittests (PR #504).

NEW FUNCTIONALITY

Added compression/compress_h5mu component (PR #530).
Resource management: when a process exits with a status code between 137 and 140, retry the process with increased memory requirements. Memory scales by multiplying the base memory assigned to the process with the attempt number (PR #518 and PR #527).
integrate/scvi: Add --n_hidden_nodes, --n_dimensions_latent_space, --n_hidden_layers, --dropout_rate, --dispersion, --gene_likelihood, --use_layer_normalization, --use_batch_normalization, --encode_covariates, --deeply_inject_covariates and --use_observed_lib_size parameters.
filter/filter_with_counts: add --var_name_mitochondrial_genes argument to store a boolean array corresponding the detected mitochondrial genes.
full_pipeline and rna_singlesample pipelines: add --var_name_mitochondrial_genes, --var_gene_names and --mitochondrial_gene_regex arguments to specify mitochondrial gene detection behaviour.
integrate/scvi: Add --obs_labels, --obs_size_factor, --obs_categorical_covariate and --obs_continuous_covariate arguments (PR #496).
Added var_qc_metrics_fill_na_value argument to calculate_qc_metrics (PR #477).
Added multiomics/multisample pipeline to run multisample processing followed by the integration setup. It is considered an entrypoint into the full pipeline which skips the single-sample processing. The idea is to allow a a re-run of these steps after a sample has already been processed by the full_pipeline. Keep in mind that samples that are provided as input to this pipeline are processed separately and are not concatenated. Hence, the input should be a concatenated sample (PR #475).
Added multiomics/integration/bbknn_leiden workflow. (PR #456).
workflows/prot_multisample and workflows/full_pipelines: add basic QC statistics to prot modality (PR #485).
mapping/cellranger_multi: Add tests for the mapping of Crispr Guide Capture data (PR #494).
convert/from_cellranger_multi_to_h5mu: add perturbation_efficiencies_by_feature and perturbation_efficiencies_by_feature information to .uns slot of gdo modality (PR #494).
convert/from_cellranger_multi_to_h5mu: add feature_reference information to the MuData object. Information is split between the modalities. For example CRISPR Guide Capture information if added to the .uns slot of the gdo modality, while Antibody Capture information is added to the .uns slot of prot (PR #494).
Added multiomics/integration/totalvi_leiden pipeline (PR #500).
Added totalVI component (PR #386).
workflows/full_pipeline: Add pca_overwrite argument (PR #511).
Add main_build_viash_hub action to build, tag, and push components and docker images for viash-hub.com (PR #480).
integration/bbknn_leiden: Update state management to fromState / toState (PR #538).
mapping/cellranger_multi: Add optional helper input: allow for passing modality specific inputs, from which library type and library id are inferred (PR #693).

DOCUMENTATION

images: Added images for various concepts, such as a sample, a cell, RNA, ADT, ATAC, VDJ (PR #515).
multiomics/rna_singlesample: Add image for workflow (PR #515).
multiomics/rna_multisample: Add image for workflow (PR #515).
multiomics/prot_singlesample: Add image for workflow (PR #515).
multiomics/prot_multisample: Add image for workflow (PR #515).

BUG FIXES

Fix an issue with workflows/multiomics/scanorama_leiden where the --output argument doesn't work as expected (PR #509).
Fix an issue with workflows/full_pipeline not correctly caching previous runs (PR #460).
Fix incorrect namespaces of the integration pipelines (PR #464).
Fix an issue in several workflows where the --output argument would not work (PR #476).
integration/harmony_leiden and integration/scanorama_leiden: Fix an issue where the prefix of the columns that store the leiden clusters was hardcoded to leiden, instead of adapting to the value for --obs_cluster (PR #482).
velocity/velocyto: Resolve symbolic link before checking whether the transcriptome is a gzip (PR #484).
workflows/integration/scanorama_leiden: fix an issue where --obsm_input, --obs_batch, --batch_size, --sigma, --approx, --alphaand-knn` were not working beacuse they were not passed through to the scanorama component (PR #487).
workflows/integration/scanorama_leiden: fix leiden being calculated on the wrong embedding because the --obsm_input argument was not correctly set to the output embedding of scanorama (PR #487).
mapping/cellranger_multi: Fix and issue where modalities did not have the proper name (PR #494).
metadata/add_uns_to_obs: Fix KeyError: 'ouput_compression' error (PR #501).
neighbors/bbknn: Fix --input not being a required argument (PR #518).
Create correction/cellbender_remove_background_v0.2 for legacy CellBender v0.2 format (PR #523).
integrate/scvi: Ensure output has the same dimensionality as the input (PR #524).
mapping/bd_rhapsody: Fix --dryrun argument not working (PR #534).
qc/multiqc: Fix component not working for multiple inputs (PR #537). Also converted Bash script to Python scripts.
neighbors/bbknn: Fix --uns_output, --obsp_distances and --obsp_connectivities not being processed correctly (PR #538).

openpipelines 0.9.0

BREAKING CHANGES

Running the integration in the full_pipeline deemed to be impractical because a plethora of integration methods exist, which in turn interact with other functionality (like clustering). This generates a large number of possible usecases which one pipeline cannot cover in an easy manner. Instead, each integration methods will be split into its separate pipeline, and the full_pipeline will prepare for integration by performing steps that are required by many integration methods. Therefore, the following changes were performed:

workflows/full_pipeline: harmony integration and leiden clustering are removed from the pipeline.
Added initialize_integration to run calculations that output information commonly required by the integration methods. This pipeline runs PCA, nearest neighbours and UMAP. This pipeline is run as a subpipeline at the end of full_pipeline.
Added leiden_harmony integration pipeline: run harmony integration followed by neighbour calculations and leiden clustering. Also runs umap on the result.
Removed the integration pipeline.

The old behavior of the full_pipeline can be obtained by running full_pipeline followed by the leiden_harmony pipeline.

The crispr and hashing modalities have been renamed to gdo and hto respectively (PR #392).
Updated Viash to 0.7.4 (PR #390).
cluster/leiden: Output is now stored into .obsm instead of .obs (PR #431).

NEW FUNCTIONALITY

cluster/leiden and integration/harmony_leiden: allow running leiden multiple times with multiple resolutions (PR #431).
workflows/full_pipeline: PCA, nearest neighbours and UMAP are now calculated for the prot modality (PR #396).
transform/clr: added output_layer argument (PR #396).
workflows/integration/scvi: Run scvi integration followed by neighbour calculations and run umap on the result (PR #396).
mapping/cellranger_multi and workflows/ingestion/cellranger_multi: Added --vdj_inner_enrichment_primers argument (PR #417).
metadata/move_obsm_to_obs: Move a matrix from an .obsm slot into .obs (PR #431).
integrate/scvi validity checks for non-normalized input, obs and vars in order to proceed to training (PR #429).
schemas: Added schema files for authors (PR #436).
schemas: Added schema file for Viash configs (PR #436).
schemas: Refactor author import paths (PR #436).
schemas: Added schema file for file format specification files (PR #437).
query/cellxgene_census: Query Cellxgene census component and save the results to a MuData file. (PR #433).

MAJOR CHANGES

report/mermaid: Now used mermaid-cli to generate images instead of creating a request to mermaid.ink. New --output_format, --width, --height and --background_color arguments were added (PR #419).
All components that used python as base container: use slim version to reduce container image size (PR #427).

MINOR CHANGES

integrate/scvi: update scvi to 1.0.0 (PR #448)
mapping/multi_star: Added --min_success_rate which causes component to fail when the success rate of processed samples were successful (PR #408).
correction/cellbender_remove_background and transform/clr: update muon to 0.1.5 (PR #428)
ingestion/cellranger_postprocessing: split integration tests into several workflows (PR #425).
schemas: Add schema file for author yamls (PR #436).
mapping/multi_star, mapping/star_build_reference and mapping/star_align: update STAR from 2.7.10a to 2.7.10b (PR #441).

BUG FIXES

annotate/popv: Fix concat issue when the input data has multiple layers (#395, PR #397).
annotate/popv: Fix indexing issue when MuData object contain non overlapping modalities (PR #405).
mapping/multi_star: Fix issue where temp dir could not be created when group_id contains slashes (PR #406).
mapping/multi_star_to_h5mu: Use glob to look for count files recursively (PR #408).
annotate/popv: Pin PopV, jax and jaxlib versions (PR #415).
integrate/scvi: the max_epochs is no longer required since it has a default value (PR #396).
workflows/full_pipeline: fix make_observation_keys_unique parameter not being correctly passed to the add_id component, causing ValueError: Observations are not unique across samples during execution of the concat component (PR #422).
annotate/popv: now sets aprox to False to avoid using annoy in scanorama because it fails on processors that are missing the AVX-512 instruction sets, causing Illegal instruction (core dumped).
workflows/full_pipeline: Avoid adding sample names to observation ids twice (PR #457).

openpipelines 0.8.0

BREAKING CHANGES

workflows/full_pipeline: Renamed inconsistencies in argument naming (#372):
- rna_min_vars_per_cell was renamed to rna_min_genes_per_cell
- rna_max_vars_per_cell was renamed to rna_max_genes_per_cell
- prot_min_vars_per_cell was renamed to prot_min_proteins_per_cell
- prot_max_vars_per_cell was renamed to prot_max_proteins_per_cell
velocity/scvelo: bump anndata from <0.8 to 0.9.

NEW FUNCTIONALITY

Added an extra label veryhighmem mostly for cellranger_multi with a large number of samples.
Added multiomics/prot_multisample pipeline.
Added clr functionality to prot_multisample pipeline.
Added interpret/lianapy: Enables the use of any combination of ligand-receptor methods and resources, and their consensus.
filter/filter_with_scrublet: Add --allow_automatic_threshold_detection_fail: when scrublet fails to detect doublets, the component will now put NA in the output columns.
workflows/full_pipeline: Allow not setting the sample ID to the .obs column of the MuData object.
workflows/rna_multisample: Add the ID of the sample to the .obs column of the MuData object.
correction/cellbender_remove_background: add obsm_latent_gene_encoding parameter to store the latent gene representation.

BUG FIXES

transform/clr: fix anndata object instead of matrix being stored as a layer in output MuData, resulting in NoneTypeError object after reading the .layers back in.
dataflow/concat and dataflow/merge: fixed a bug where boolean values were cast to their string representation.
workflows/full_pipeline: fix running pipeline with -stub.
Fixed an issue where passing a remote file URI (for example http:// or s3://) as param_list caused No such file errors.
workflows/full_pipeline: Fix incorrectly named filtering arguments (#372).
integrate/scvi: Fix bug when subsetting using the var_input argument (PR #385).
correction/cellbender_remove_background: add obsm_latent_gene_encoding parameter to store the latent gene representation.

MINOR CHANGES

integrate/scarches, integrate/scvi and correction/cellbender_remove_background: Update base container to nvcr.io/nvidia/pytorch:22.12-py3
integrate/scvi: add gpu label for nextflow platform.
integrate/scvi: use cuda enabled jax install.
convert/from_cellranger_multi_to_h5mu, dataflow/concat and dataflow/merge: update pandas to 2.0.0
dataflow/concat and dataflow/merge: Boolean and integer columns are now represented by the BooleanArray and IntegerArray dtypes in order to allow storing NA values.
interpret/lianapy: use the latest development release (commit 11156ddd0139a49dfebdd08ac230f0ebf008b7f8) of lianapy in order to fix compatibility with numpy 1.24.x.
filter/filter_with_hvg: Add error when specified input layer cannot be found in input data.
workflows/multiomics/full_pipeline: publish the output from sample merging to allow running different integrations.
CI: Remove various unused software libraries from runner image in order to avoid no space left on device (PR #425, PR #447).

openpipelines 0.7.1

NEW FUNCTIONALITY

integrate/scvi: use nvcr.io/nvidia/pytorch:22.09-py3 as base container to enable GPU acceleration.
integrate/scvi: add --model_output to save model.
workflows/ingestion/cellranger_mapping: Added output_type to output the filtered Cell Ranger data as h5mu, not the converted raw 10xh5 output.
Several components: added --output_compression component to set the compression of output .h5mu files.
workflows/full_pipeline and workflows/integration: Added leiden_resolution argument to control the coarseness of the clustering.
Added --rna_theta and --rna_harmony_theta to full and integration pipeline respectively in order to tune the diversity clustering penalty parameter for harmony integration.
dimred/pca: fix variance slot containing a second copy of the variance ratio matrix and not the variances.

BUG FIXES

mapping/cellranger_multi: Fix an issue where using a directory as value for --input would cause AttributeError.
workflows/integration: init_pos is no longer set to the integration layer (e.g. X_pca_integrated).

MINOR CHANGES

integration and full workflows: do not run harmony integration when obs_covariates is not provided.
Add highmem label to dimred/pca component.
Remove disabled convert/from_csv_to_h5mu component.
Update to Viash 0.7.1.
Several components: update to scanpy 1.9.2
process_10xh5/filter_10xh5: speed up build by using eddelbuettel/r2u:22.04 base container.

MAJOR CHANGES

dataflow/concat: Renamed --compression to --output_compression.

openpipelines 0.7.0

MAJOR CHANGES

Removed bin folder. As of viash 0.6.4, a _viash.yaml file can be included in the root of a repository to set common viash options for the project. These options were previously covered in the bin/init script, but this new feature of viash makes its use unnecessary. The viash and nextlow should now be installed in a directory that is included in your $PATH.

MINOR CHANGES

filter/do_filter: raise an error instead of printing a warning when providing a column for var_filer or obs_filter that doesn't exist.

BUG FIXES

workflows/full_pipeline: Fix setting .var output column for filter_with_hvg.
Fix running mapping/cellranger_multi without passing all references.
filter/filter_with_scrublet: now sets use_approx_neighbors to False to avoid using annoy because it fails on processors that are missing the AVX-512 instruction sets.
workflows: Updated WorkflowHelper to newer version that allows applying defaults when calling a subworkflow from another workflow.
Several components: pin matplotlib to <3.7 to fix scanpy compatibility (see https://github.com/scverse/scanpy/issues/2411).
workflows: fix a bug when running a subworkflow from a workflow would cause the parent config to be read instead of the subworklow config.
correction/cellbender_remove_background: Fix description of input for cellbender_remove_background.
filter/do_filter: resolved an issue where the .obs column instead of the .var column was being logged when filtering using the .var column.
workflows/rna_singlesample and workflows/prot_singlesample: Correctly set var and obs columns while filtering with counts.
filter/do_filter: removed the default input value for var_filter argument.
workflows/full_pipeline and workflows/integration: fix PCA not using highly variable genes filter.

openpipelines 0.6.2

NEW FUNCTIONALITY

workflows/full_pipeline: added filter_with_hvg_obs_batch_key argument for batched detection of highly variable genes.
workflows/rna_multisample: added filter_with_hvg_obs_batch_key, filter_with_hvg_flavor and filter_with_hvg_n_top_genes arguments.
qc/calculate_qc_metrics: Add basic statistics: pct_dropout, num_zero_obs, obs_mean and total_counts are added to .var. num_nonzero_vars, pct_{var_qc_metrics}, total_counts_{var_qc_metrics}, pct_of_counts_in_top_{top_n_vars}_vars and total_counts are included in .obs
workflows/multiomics/rna_multisample and workflows/multiomics/full_pipeline: add qc/calculate_qc_metrics component to workflow.
workflows/multiomics/prot_singlesample: Processing unimodal single-sample CITE-seq data.
workflows/multiomics/rna_singlesample and workflows/multiomics/full_pipeline: Add filtering arguments to pipeline.

MINOR CHANGES

convert/from_bdrhap_to_h5mu: bump R version to 4.2.
process_10xh5/filter_10xh5: bump R version to 4.2.
dataflow/concat: include path of file in error message when reading a mudata file fails.
mapping/cellranger_multi: write cellranger console output to a cellranger_multi.log file.

BUG FIXES

mapping/htseq_count_to_h5mu: Fix a bug where reading in the gtf file caused AttributeError.
dataflow/concat: the --input_id is no longer required when --mode is not move.
filter/filter_with_hvg: does no longer try to use --varm_name to set non-existant metadata when running with --flavor seurat_v3, which was causing KeyError.
filter/filter_with_hvg: Enforce that n_top_genes is set when flavor is set to 'seurat_v3'.
filter/filter_with_hvg: Improve error message when trying to use 'cell_ranger' as flavor and passing unfiltered data.
mapping/cellranger_multi now applies gex_chemistry, gex_secondary_analysis, gex_generate_bam, gex_include_introns and gex_expect_cells.

openpipeline 0.6.1

NEW FUNCTIONALITY

mapping/multi_star: A parallellized version of running STAR (and HTSeq).
mapping/multi_star_to_h5mu: Convert the output of multi_star to a h5mu file.

BUG FIXES

filter/filter_with_counts: Fix an issue where mitochrondrial genes were being detected in .var_names, which contain ENSAMBL IDs instead of gene symbols in the pipelines. Solution was to create a --var_gene_names argument which allows selecting a .var column to check using a regex (--mitochondrial_gene_regex).
dataflow/concat, report/mermaid, transform/clr: Don't forget to exit with code returned by pytest.

openpipeline 0.6.0

NEW FUNCTIONALITY

workflows/full_pipeline: add filter_with_hvg_var_output argument.
dimred/pca: Add --overwrite and --var_input arguments.
tranform/clr: Perform CLR normalization on CITE-seq data.
workflows/ingestion/cellranger_multi: Run Cell Ranger multi and convert the output to .h5mu.
filter/remove_modality: Remove a single modality from a MuData file.
mapping/star_align: Align .fastq files using STAR.
mapping/star_align_v273a: Align .fastq files using STAR v2.7.3a.
mapping/star_build_reference: Create a STAR reference index.
mapping/cellranger_multi: Align fastq files using Cell Ranger multi.
mapping/samtools_sort: Sort and (optionally) index alignments.
mapping/htseq_count: Quantify gene expression for subsequent testing for differential expression.
mapping/htseq_count_to_h5mu: Convert one or more HTSeq outputs to a MuData file.
Added from convert/from_cellranger_multi_to_h5mu component.

MAJOR CHANGES

convert/from_velocyto_to_h5mu: Moved to velocity/velocyto_to_h5mu. It also now accepts an optional --input_h5mu argument, to allow directly reading the RNA velocity data into a .h5mu file containing the other modalities.
resources_test/cellranger_tiny_fastq: Include RNA velocity computations as part of the script.
mapping/cellranger_mkfastq: remove --memory and --cpu arguments as (resource management is automatically provided by viash).

MINOR CHANGES

Several components: use gzip compression for writing .h5mu files.
Default value for obs_covariates argument of full pipeline is now sample_id.
Set the tag directive of all Nextflow components to '$id'.

BUG FIXES

Keep data for modalities that are not specifically enabled when running full pipeline.
Fix many components thanks to Viash 0.6.4, which causes errors to be thrown when input and output files are defined but not found.

openpipeline 0.5.1

BREAKING CHANGES

reference/make_reference: Input files changed from type: string to type: file to allow Nextflow to cache the input files fetched from URL.
several components (except from_h5ad_to_h5mu): the --modality arguments no longer accept multiple values.
Remove outdated resources_test_scripts.
convert/from_h5mu_to_seurat: Disabled because MuDataSeurat is currently broken, see https://github.com/PMBio/MuDataSeurat/issues/9.
integrate/harmony: Disabled because it is currently not functioning and the alternative, harmonypy, is used in the workflows.
dataflow/concat: Renamed --sample_names to --input_id and moved the ability to add sample id and to join the sample ids with the observation names to metadata/add_id
Moved dataflow/concat, dataflow/merge and dataflow/split_modalities to a new namespace: dataflow.
Moved workflows/conversion/conversion to workflows/ingestion/conversion

NEW FUNCTIONALITY

metadata/add_id: Add an id to a column in .obs. Also allows joining the id to the .obs_names.
workflows/ingestion/make_reference: A generic component to build a transcriptomics reference into one of many formats.
integrate/scvi: Performs scvi integration.
integrate/add_metadata: Add a csv containing metadata to the .obs or .var field of a mudata file.

DataflowHelper.nf: Added passthroughMap. Usage:

include { passthroughMap as pmap } from "./DataflowHelper.nf"

workflow {
  Channel.fromList([["id", [input: "foo"], "passthrough"]])
    | pmap{ id, data ->
      [id, data + [arg: 10]]
    }
}

Note that in the example above, using a regular map would result in an exception being thrown, that is, "Invalid method invocation call with arguments".

A synonymous of doing this with a regular map() would be:

workflow {
  Channel.fromList([["id", [input: "foo"], "passthrough"]])
    | map{ tup ->
      def (id, data) = tup
      [id, data + [arg: 10]] + tup.drop(2)
    }
}

correction/cellbender_remove_background: Eliminating technical artifacts from high-throughput single-cell RNA sequencing data.
workflows/ingestion/cellranger_postprocessing: Add post-processing of h5mu files created from Cell Ranger data.
annotate/popv: Performs popular major vote cell typing on single cell sequence data.

MAJOR CHANGES

workflows/utils/DataflowHelper.nf: Added helper functions setWorkflowArguments() and getWorkflowArguments() to split the data field of a channel event into a hashmap. Example usage:

| setWorkflowArguments(
  pca: [ "input": "input", "obsm_output": "obsm_pca" ]
  integration: [ "obs_covariates": "obs_covariates", "obsm_input": "obsm_pca" ]
)
| getWorkflowArguments("pca")
| pca
| getWorkflowArguments("integration")
| integration

mapping/cellranger_count: Allow passing both directories as well as individual fastq.gz files as inputs.
convert/from_10xh5_to_h5mu: Allow reading in QC metrics, use gene ids as .obs_names instead of gene symbols.
workflows/conversion: Update pipeline to use the latest practices and to get it to a working state.

MINOR CHANGES

dimred/umap: Streamline UMAP parameters by adding --obsm_output parameter to allow choosing the output .obsm slot.
workflows/multiomics/integration: Added arguments for tuning the various output slots of the integration pipeline, namely --obsm_pca, --obsm_integrated, --uns_neighbors, --obsp_neighbor_distances, --obsp_neighbor_connectivities, --obs_cluster, --obsm_umap.
Switch to Viash 0.6.1.
filter/subset_h5mu: Add --modality argument, export to VDSL3, add unit test.
dataflow/split_modalities: Also output modality types in a separate csv.

BUG FIXES

convert/from_bd_to_10x_molecular_barcode_tags: Replaced UTF8 characters with ASCII. OpenJDK 17 or lower might throw the following exception when trying to read a UTF8 file: java.nio.charset.MalformedInputException: Input length = 1.
dataflow/concat: Overriding sample name in .obs no longer raises AttributeError.
dataflow/concat: Fix false positives when checking for conflicts in .obs and .var when using --mode move.

openpipeline 0.5.0

Major redesign of the integration and multiomic workflows. Current list of workflows:

ingestion/bd_rhapsody: A generic pipeline for running BD Rhapsody WTA or Targeted mapping, with support for AbSeq, VDJ and/or SMK.
ingestion/cellranger_mapping: A pipeline for running Cell Ranger mapping.
ingestion/demux: A generic pipeline for running bcl2fastq, bcl-convert or Cell Ranger mkfastq.
multiomics/rna_singlesample: Processing unimodal single-sample RNA transcriptomics data.
multiomics/rna_multisample: Processing unimodal multi-sample RNA transcriptomics data.
multiomics/integration: A pipeline for demultiplexing multimodal multi-sample RNA transcriptomics data.
multiomics/full_pipeline: A pipeline to analyse multiple multiomics samples.

BREAKING CHANGES

Many components: Renamed .var["gene_ids"] and .var["feature_types"] to .var["gene_id"] and .var["feature_type"].

DEPRECATED

convert/from_10xh5_to_h5ad and convert/from_bdrhap_to_h5ad: Removed h5ad based components.
mapping/bd_rhapsody_wta and workflows/ingestion/bd_rhapsody_wta: Deprecated in favour for more generic mapping/bd_rhapsody and workflows/ingestion/bd_rhapsody pipelines.
convert/from_csv_to_h5mu: Disable until it is needed again.
dataflow/concat: Deprecated "concat" option for --other_axis_mode.

NEW COMPONENTS

graph/bbknn: Batch balanced KNN.
transform/scaling: Scale data to unit variance and zero mean.
mapping/bd_rhapsody: Added generic component for running the BD Rhapsody WTA or Targeted analysis, with support for AbSeq, VDJ and/or SMK.
integrate/harmony and integrate/harmonypy: Run a Harmony integration analysis (R-based and Python-based, respectively).
integrate/scanorama: Use Scanorama to integrate different experiments.
reference/make_reference: Download a transcriptomics reference and preprocess it (adding ERCC spikeins and filtering with a regex).
reference/build_bdrhap_reference: Compile a reference into a STAR index in the format expected by BD Rhapsody.

NEW WORKFLOWS

workflows/ingestion/bd_rhapsody: Added generic workflow for running the BD Rhapsody WTA or Targeted analysis, with support for AbSeq, VDJ and/or SMK.
workflows/multiomics/full_pipeline: Implement pipeline for processing multiple multiomics samples.

NEW FUNCTIONALITY

convert/from_bdrhap_to_h5mu: Added support for being able to deal with WTA, Targeted, SMK, AbSeq and VDJ data.
dataflow/concat: Added "move" option to --other_axis_mode, which allows merging .obs and .var by only keeping elements of the matrices which are the same in each of the samples, moving the conflicting values to .varm or .obsm.

MAJOR CHANGES

Multiple components: Update to anndata 0.8 with mudata 0.2.0. This means that the format of the .h5mu files have changed.
multiomics/rna_singlesample: Move transformation counts into layers instead of overwriting .X.
Updated to Viash 0.6.0.

MINOR CHANGES

velocity/velocyto: Allow configuring memory and parallellisation.
cluster/leiden: Add --obsp_connectivities parameter to allow choosing the output slot.
workflows/multiomics/rna_singlesample, workflows/multiomics/rna_multisample and workflows/multiomics/integration: Allow choosing the output paths.
neighbors/bbknn and neighbors/find_neighbors: Add parameters for choosing the input/output slots.
dimred/pca and dimred/umap: Add parameters for choosing the input/output slots.
dataflow/concat: Optimize concat performance by adding multiprocessing and refactoring functions.
workflows/multimodal_integration: Add obs_covariates argument to pipeline.

BUG FIXES

Several components: Revert using slim versions of containers because they do not provide the tools to run nextflow with trace capabilities.
dataflow/concat: Fix an issue where joining boolean values caused TypeError.
workflows/multiomics/rna_multisample, workflows/multiomics/rna_singlesample and workflows/multiomics/integration: Use nextflow trace reporting when running integration tests.

openpipeline 0.4.1

BUG FIXES

workflows/ingestion/bd_rhapsody_wta: use ':' as a seperator for multiple input files and fix integration tests.

MINOR CHANGES

Several components: pin mudata and scanpy dependencies so that anndata version <0.8.0 is used.

openpipeline 0.4.0

NEW FUNCTIONALITY

convert/from_bdrhap_to_h5mu: Merge one or more BD rhapsody outputs into an h5mu file.
dataflow/split_modalities: Split the modalities from a single .h5mu multimodal sample into seperate .h5mu files.
dataflow/concat: Combine data from multiple samples together.

MINOR CHANGES

mapping/bd_rhapsody_wta: Update to BD Rhapsody 1.10.1.
mapping/bd_rhapsody_wta: Add parameters for overriding the minimum RAM & cores. Add --dryrun parameter.
Switch to Viash 0.5.14.
convert/from_bdrhap_to_h5mu: Update to BD Rhapsody 1.10.1.
resources_test/bdrhap_5kjrt: Add subsampled BD rhapsody datasets to test pipeline with.
resources_test/bdrhap_ref_gencodev40_chr1: Add subsampled reference to test BD rhapsody pipeline with.
dataflow/merge: Merge several unimodal .h5mu files into one multimodal .h5mu file.
Updated several python docker images to slim version.
mapping/cellranger_count_split: update container from ubuntu focal to ubuntu jammy
download/sync_test_resources: update AWS cli tools from 2.7.11 to 2.7.12 by updating docker image
download/download_file: now uses bash container instead of python.
mapping/bd_rhapsody_wta: Use squashed docker image in which log4j issues are resolved.

BUG FIXES

workflows/utils/WorkflowHelper.nf: Renamed utils.nf to WorkflowHelper.nf.
workflows/utils/WorkflowHelper.nf: Fix error message when required parameter is not specified.
workflows/utils/WorkflowHelper.nf: Added helper functions:
- readConfig: Read a Viash config from a yaml file.
- viashChannel: Create a channel from the Viash config and the params object.
- helpMessage: Print a help message and exit.
mapping/bd_rhapsody_wta: Update picard to 2.27.3.

DEPRECATED

convert/from_bdrhap_to_h5ad: Deprecated in favour for convert/from_bdrhap_to_h5mu.
convert/from_10xh5_to_h5ad: Deprecated in favour for convert/from_10xh5_to_h5mu.

openpipeline 0.3.1

NEW FUNCTIONALITY

bin/port_from_czbiohub_utilities.sh: Added helper script to import components and pipelines from czbiohub/utilities

Imported components from czbiohub/utilities:

demux/cellranger_mkfastq: Demultiplex raw sequencing data.
mapping/cellranger_count: Align fastq files using Cell Ranger count.
mapping/cellranger_count_split: Split 10x Cell Ranger output directory into separate output fields.

Imported workflows from czbiohub/utilities:

workflows/1_ingestion/cellranger: Use Cell Ranger to preprocess 10x data.
workflows/1_ingestion/cellranger_demux: Use cellranger demux to demultiplex sequencing BCL output to FASTQ.
workflows/1_ingestion/cellranger_mapping: Use cellranger count to align 10x fastq files to a reference.

MINOR CHANGES

Fix interactive/run_cirrocumulus script raising NotImplementedError caused by using MutData.var_names_make_unique() on each modality instead of on the whole MuData object.
Fix transform/normalize_total and interactive/run_cirrocumulus component build missing a hdf5 dependency.
interactive/run_cellxgene: Updated container to ubuntu:focal because it contains python3.6 but cellxgene dropped python3.6 support.
mapping/bd_rhapsody_wta: Set --parallel to true by default.
mapping/bd_rhapsody_wta: Translate Bash script into Python.
download/sync_test_resources: Add --dryrun, --quiet, and --delete arguments.
convert/from_h5mu_to_seurat: Use eddelbuettel/r2u:22.04 docker container in order to speed up builds by downloading precompiled R packages.
mapping/cellranger_count: Use 5Gb for testing (to adhere to github CI runner memory constraints).
convert/from_bdrhap_to_h5ad: change test data to output from mapping/bd_rhapsody_wta after reducing the BD Rhapsody test data size.
Various config.vsh.yamls: Renamed values: to choices:.
download/download_file and transfer/publish: Switch base container from bash:5.1 to python:3.10.
mapping/bd_rhapsody_wta: Make sure procps is installed.

BUG FIXES

mapping/bd_rhapsody_wta: Use a smaller test dataset to reduce test time and make sure that the Github Action runners do not run out of disk space.
download/sync_test_resources: Disable the use of the Amazon EC2 instance metadata service to make script work on Github Actions runners.
convert/from_h5mu_to_seurat: Fix unit test requiring Seurat by using native R functions to test the Seurat object instead.
mapping/cellranger_count and bcl_demus/cellranger_mkfastq: cellranger uses the --parameter=value formatting instead of --parameter value to set command line arguments.
mapping/cellranger_count: --nosecondary is no longer always applied.
mapping/bd_rhapsody_wta: Added workaround for bug in Viash 0.5.12 where triple single quotes are incorrectly escaped (viash-io/viash#139).

DEPRECATED

bcl_demux/cellranger_mkfastq: Duplicate of demux/cellranger_mkfastq.

openpipeline 0.3.0

Add tx_processing pipeline with following components:
- filter_with_counts
- filter_with_scrublet
- filter_with_hvg
- do_filter
- normalize_total
- regress_out
- log1p
- pca
- find_neighbors
- leiden
- umap

openpipeline 0.2.0

NEW FUNCTIONALITY

Added from_10x_to_h5ad and download_10x_dataset components.

MINOR CHANGES

Workflow bd_rhapsody_wta: Minor change to workflow to allow for easy processing of multiple samples with a tsv.
Component bd_rhapsody_wta: Added more parameters, --parallel and --timestamps.
Added pbmc_1k_protein_v3 as a test resource.
Translate bd_rhapsody_extracth5ad from R into Python script.
bd_rhapsody_wta: Remove temporary directory after execution.
files/make_params: Implement unit tests (PR #505).

openpipeline 0.1.0

Initial release containing only a bd_rhapsody_wta pipeline and corresponding components.

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