name: "popv" namespace: "annotate" version: "fix-integration-tests" authors: - name: "Matthias Beyens" roles: - "author" info: role: "Contributor" links: github: "MatthiasBeyens" orcid: "0000-0003-3304-0706" email: "matthias.beyens@gmail.com" linkedin: "mbeyens" organizations: - name: "Janssen Pharmaceuticals" href: "https://www.janssen.com" role: "Principal Scientist" - name: "Robrecht Cannoodt" roles: - "author" info: role: "Core Team Member" links: email: "robrecht@data-intuitive.com" github: "rcannood" orcid: "0000-0003-3641-729X" linkedin: "robrechtcannoodt" organizations: - name: "Data Intuitive" href: "https://www.data-intuitive.com" role: "Data Science Engineer" - name: "Open Problems" href: "https://openproblems.bio" role: "Core Member" argument_groups: - name: "Inputs" description: "Arguments related to the input (aka query) dataset." arguments: - type: "file" name: "--input" alternatives: - "-i" description: "Input h5mu file." info: null example: - "input.h5mu" must_exist: true create_parent: true required: true direction: "input" multiple: false multiple_sep: ";" - type: "string" name: "--modality" description: "Which modality to process." info: null default: - "rna" required: false direction: "input" multiple: false multiple_sep: ";" - type: "string" name: "--input_layer" description: "Which layer to use. If no value is provided, the counts are assumed\ \ to be in the `.X` slot. Otherwise, count data is expected to be in `.layers[input_layer]`." info: null required: false direction: "input" multiple: false multiple_sep: ";" - type: "string" name: "--input_obs_batch" description: "Key in obs field of input adata for batch information. If no value\ \ is provided, batch label is assumed to be unknown." info: null required: false direction: "input" multiple: false multiple_sep: ";" - type: "string" name: "--input_var_subset" description: "Subset the input object with this column." info: null required: false direction: "input" multiple: false multiple_sep: ";" - type: "string" name: "--input_obs_label" description: "Key in obs field of input adata for label information. This is only\ \ used for training scANVI. Unlabelled cells should be set to `\"unknown_celltype_label\"\ `." info: null required: false direction: "input" multiple: false multiple_sep: ";" - type: "string" name: "--unknown_celltype_label" description: "If `input_obs_label` is specified, cells with this value will be\ \ treated as unknown and will be predicted by the model." info: null default: - "unknown" required: false direction: "input" multiple: false multiple_sep: ";" - name: "Reference" description: "Arguments related to the reference dataset." arguments: - type: "file" name: "--reference" description: "User-provided reference tissue. The data that will be used as reference\ \ to call cell types." info: null example: - "TS_Bladder_filtered.h5ad" must_exist: true create_parent: true required: true direction: "input" multiple: false multiple_sep: ";" - type: "string" name: "--reference_layer" description: "Which layer to use. If no value is provided, the counts are assumed\ \ to be in the `.X` slot. Otherwise, count data is expected to be in `.layers[reference_layer]`." info: null required: false direction: "input" multiple: false multiple_sep: ";" - type: "string" name: "--reference_obs_label" description: "Key in obs field of reference AnnData with cell-type information." info: null default: - "cell_ontology_class" required: false direction: "input" multiple: false multiple_sep: ";" - type: "string" name: "--reference_obs_batch" description: "Key in obs field of input adata for batch information." info: null default: - "donor_assay" required: false direction: "input" multiple: false multiple_sep: ";" - name: "Outputs" description: "Output arguments." arguments: - type: "file" name: "--output" description: "Output h5mu file." info: null example: - "output.h5mu" must_exist: true create_parent: true required: true direction: "output" multiple: false multiple_sep: ";" - type: "string" name: "--output_compression" info: null example: - "gzip" required: false choices: - "gzip" - "lzf" direction: "input" multiple: false multiple_sep: ";" - name: "Arguments" description: "Other arguments." arguments: - type: "string" name: "--methods" description: "Methods to call cell types. By default, runs to knn_on_scvi and\ \ scanvi." info: null example: - "knn_on_scvi" - "scanvi" required: true choices: - "celltypist" - "knn_on_bbknn" - "knn_on_scanorama" - "knn_on_scvi" - "onclass" - "rf" - "scanvi" - "svm" direction: "input" multiple: true multiple_sep: ";" resources: - type: "python_script" path: "script.py" is_executable: true - type: "file" path: "setup_logger.py" - type: "file" path: "nextflow_labels.config" dest: "nextflow_labels.config" description: "Performs popular major vote cell typing on single cell sequence data\ \ using multiple algorithms. Note that this is a one-shot version of PopV." test_resources: - type: "python_script" path: "test.py" is_executable: true - type: "file" path: "annotation_test_data" - type: "file" path: "pbmc_1k_protein_v3" - type: "file" path: "openpipelinetestutils" dest: "openpipelinetestutils" info: null status: "enabled" links: repository: "https://github.com/openpipelines-bio/openpipeline" docker_registry: "ghcr.io" runners: - type: "executable" id: "executable" docker_setup_strategy: "ifneedbepullelsecachedbuild" - type: "nextflow" id: "nextflow" directives: label: - "highmem" - "highcpu" tag: "$id" auto: simplifyInput: true simplifyOutput: false transcript: false publish: false config: labels: mem1gb: "memory = 1000000000.B" mem2gb: "memory = 2000000000.B" mem5gb: "memory = 5000000000.B" mem10gb: "memory = 10000000000.B" mem20gb: "memory = 20000000000.B" mem50gb: "memory = 50000000000.B" mem100gb: "memory = 100000000000.B" mem200gb: "memory = 200000000000.B" mem500gb: "memory = 500000000000.B" mem1tb: "memory = 1000000000000.B" mem2tb: "memory = 2000000000000.B" mem5tb: "memory = 5000000000000.B" mem10tb: "memory = 10000000000000.B" mem20tb: "memory = 20000000000000.B" mem50tb: "memory = 50000000000000.B" mem100tb: "memory = 100000000000000.B" mem200tb: "memory = 200000000000000.B" mem500tb: "memory = 500000000000000.B" mem1gib: "memory = 1073741824.B" mem2gib: "memory = 2147483648.B" mem4gib: "memory = 4294967296.B" mem8gib: "memory = 8589934592.B" mem16gib: "memory = 17179869184.B" mem32gib: "memory = 34359738368.B" mem64gib: "memory = 68719476736.B" mem128gib: "memory = 137438953472.B" mem256gib: "memory = 274877906944.B" mem512gib: "memory = 549755813888.B" mem1tib: "memory = 1099511627776.B" mem2tib: "memory = 2199023255552.B" mem4tib: "memory = 4398046511104.B" mem8tib: "memory = 8796093022208.B" mem16tib: "memory = 17592186044416.B" mem32tib: "memory = 35184372088832.B" mem64tib: "memory = 70368744177664.B" mem128tib: "memory = 140737488355328.B" mem256tib: "memory = 281474976710656.B" mem512tib: "memory = 562949953421312.B" cpu1: "cpus = 1" cpu2: "cpus = 2" cpu5: "cpus = 5" cpu10: "cpus = 10" cpu20: "cpus = 20" cpu50: "cpus = 50" cpu100: "cpus = 100" cpu200: "cpus = 200" cpu500: "cpus = 500" cpu1000: "cpus = 1000" script: - "includeConfig(\"nextflow_labels.config\")" debug: false container: "docker" engines: - type: "docker" id: "docker" image: "python:3.9-slim" target_registry: "images.viash-hub.com" target_tag: "fix-integration-tests" namespace_separator: "/" setup: - type: "apt" packages: - "procps" - "git" - "build-essential" - "wget" interactive: false - type: "python" user: false packages: - "scanpy~=1.9.6" - "scvi-tools~=1.0.3" - "popv~=0.3.2" - "jax==0.4.10" - "jaxlib==0.4.10" - "ml-dtypes<0.3.0" - "scipy==1.12.0" upgrade: true - type: "python" user: false packages: - "anndata==0.10.8" - "mudata~=0.2.4" - "pandas!=2.1.2" - "numpy<2.0.0" upgrade: true - type: "docker" run: - "cd /opt && git clone --depth 1 https://github.com/YosefLab/PopV.git && \\\n\ \ cd PopV && git fetch --depth 1 origin tag v0.2 && git checkout v0.2\n" test_setup: - type: "python" user: false packages: - "viashpy==0.8.0" upgrade: true entrypoint: [] cmd: null - type: "native" id: "native" build_info: config: "src/annotate/popv/config.vsh.yaml" runner: "executable" engine: "docker|native" output: "target/executable/annotate/popv" executable: "target/executable/annotate/popv/popv" viash_version: "0.9.0" git_commit: "da62b4ffe30b6ef36fcb7ef5944f29d45d1138ff" git_remote: "https://x-access-token:ghs_WgbTvvspBKMSQ5BPucz45vMfHrxqK54Vys9e@github.com/openpipelines-bio/openpipeline" git_tag: "0.2.0-1939-gda62b4ff" package_config: name: "openpipeline" version: "fix-integration-tests" info: test_resources: - type: "s3" path: "s3://openpipelines-data" dest: "resources_test" viash_version: "0.9.0" source: "src" target: "target" config_mods: - ".test_resources += {path: '/src/base/openpipelinetestutils', dest: 'openpipelinetestutils'}\n\ .resources += {path: '/src/workflows/utils/labels.config', dest: 'nextflow_labels.config'}\n\ .runners[.type == 'nextflow'].directives.tag := '$id'\n.runners[.type == 'nextflow'].config.script\ \ := 'includeConfig(\"nextflow_labels.config\")'\n" - ".engines += { type: \"native\" }" - ".engines[.type == 'docker'].target_registry := 'images.viash-hub.com'" - ".engines[.type == 'docker'].target_tag := 'fix-integration-tests'" organization: "vsh" links: repository: "https://github.com/openpipelines-bio/openpipeline" docker_registry: "ghcr.io" homepage: "https://openpipelines.bio" documentation: "https://openpipelines.bio/fundamentals" issue_tracker: "https://github.com/openpipelines-bio/openpipeline/issues"