name: "build_bdrhap_reference" namespace: "reference" version: "fix-integration-tests" authors: - name: "Robrecht Cannoodt" roles: - "author" - "maintainer" 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" - name: "Weiwei Schultz" roles: - "contributor" info: role: "Contributor" organizations: - name: "Janssen R&D US" role: "Associate Director Data Sciences" argument_groups: - name: "Inputs" arguments: - type: "file" name: "--genome_fasta" description: "Reference genome file in FASTA or FASTA.GZ format. The BD Rhapsody\ \ Sequencing Analysis Pipeline uses GRCh38 for Human and GRCm39 for Mouse." info: config_key: "Genome_fasta" example: - "genome_sequence.fa.gz" must_exist: true create_parent: true required: true direction: "input" multiple: true multiple_sep: ";" - type: "file" name: "--gtf" description: "File path to the transcript annotation files in GTF or GTF.GZ format.\ \ The Sequence Analysis Pipeline requires the 'gene_name' or \n'gene_id' attribute\ \ to be set on each gene and exon feature. Gene and exon feature lines must\ \ have the same attribute, and exons\nmust have a corresponding gene with the\ \ same value. For TCR/BCR assays, the TCR or BCR gene segments must have the\ \ 'gene_type' or\n'gene_biotype' attribute set, and the value should begin with\ \ 'TR' or 'IG', respectively.\n" info: config_key: "Gtf" example: - "transcriptome_annotation.gtf.gz" must_exist: true create_parent: true required: true direction: "input" multiple: true multiple_sep: ";" - type: "file" name: "--extra_sequences" description: "File path to additional sequences in FASTA format to use when building\ \ the STAR index. (e.g. transgenes or CRISPR guide barcodes).\nGTF lines for\ \ these sequences will be automatically generated and combined with the main\ \ GTF.\n" info: config_key: "Extra_sequences" must_exist: true create_parent: true required: false direction: "input" multiple: true multiple_sep: ";" - name: "Outputs" arguments: - type: "file" name: "--reference_archive" description: "A Compressed archive containing the Reference Genome Index and annotation\ \ GTF files. This archive is meant to be used as an\ninput in the BD Rhapsody\ \ Sequencing Analysis Pipeline.\n" info: null example: - "reference.tar.gz" must_exist: true create_parent: true required: true direction: "output" multiple: false multiple_sep: ";" - name: "Arguments" arguments: - type: "string" name: "--mitochondrial_contigs" description: "Names of the Mitochondrial contigs in the provided Reference Genome.\ \ Fragments originating from contigs other than these are\nidentified as 'nuclear\ \ fragments' in the ATACseq analysis pipeline.\n" info: config_key: "Mitochondrial_contigs" default: - "chrM" - "chrMT" - "M" - "MT" required: false direction: "input" multiple: true multiple_sep: ";" - type: "boolean_true" name: "--filtering_off" description: "By default the input Transcript Annotation files are filtered based\ \ on the gene_type/gene_biotype attribute. Only features \nhaving the following\ \ attribute values are kept:\n\n - protein_coding\n - lncRNA \n - IG_LV_gene\n\ \ - IG_V_gene\n - IG_V_pseudogene\n - IG_D_gene\n - IG_J_gene\n - IG_J_pseudogene\n\ \ - IG_C_gene\n - IG_C_pseudogene\n - TR_V_gene\n - TR_V_pseudogene\n -\ \ TR_D_gene\n - TR_J_gene\n - TR_J_pseudogene\n - TR_C_gene\n\n If you have\ \ already pre-filtered the input Annotation files and/or wish to turn-off the\ \ filtering, please set this option to True.\n" info: config_key: "Filtering_off" direction: "input" - type: "boolean_true" name: "--wta_only_index" description: "Build a WTA only index, otherwise builds a WTA + ATAC index." info: config_key: "Wta_Only" direction: "input" - type: "string" name: "--extra_star_params" description: "Additional parameters to pass to STAR when building the genome index.\ \ Specify exactly like how you would on the command line." info: config_key: "Extra_STAR_params" example: - "--limitGenomeGenerateRAM 48000 --genomeSAindexNbases 11" required: false direction: "input" multiple: false multiple_sep: ";" resources: - type: "python_script" path: "script.py" is_executable: true - type: "file" path: "make_rhap_reference_2.2.1_nodocker.cwl" - type: "file" path: "nextflow_labels.config" dest: "nextflow_labels.config" description: "The Reference Files Generator creates an archive containing Genome Index\n\ and Transcriptome annotation files needed for the BD Rhapsody Sequencing\nAnalysis\ \ Pipeline. The app takes as input one or more FASTA and GTF files\nand produces\ \ a compressed archive in the form of a tar.gz file. The \narchive contains:\n \ \ \n- STAR index\n- Filtered GTF file\n" test_resources: - type: "bash_script" path: "test.sh" is_executable: true - type: "file" path: "reference.fa.gz" - type: "file" path: "reference.gtf.gz" - 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: "bdgenomics/rhapsody:2.2.1" target_registry: "images.viash-hub.com" target_tag: "fix-integration-tests" namespace_separator: "/" setup: - type: "apt" packages: - "procps" - "seqkit" interactive: false - type: "python" user: false packages: - "cwlref-runner" - "cwl-runner" upgrade: true entrypoint: [] cmd: null - type: "native" id: "native" build_info: config: "src/reference/build_bdrhap_reference/config.vsh.yaml" runner: "executable" engine: "docker|native" output: "target/executable/reference/build_bdrhap_reference" executable: "target/executable/reference/build_bdrhap_reference/build_bdrhap_reference" 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"