Explore Workflows
View already parsed workflows here or click here to add your own
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kmer_top_n_extract
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Path: task_types/tt_kmer_top_n_extract.cwl Branch/Commit ID: 205f4ceb47ba7537a6923d2dfb03668317c2fd89 |
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Cell Ranger Aggregate
Cell Ranger Aggregate ===================== |
Path: workflows/cellranger-aggr.cwl Branch/Commit ID: cbefc215d8286447620664fb47076ba5d81aa47f |
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tt_kmer_compare_wnode
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Path: task_types/tt_kmer_compare_wnode.cwl Branch/Commit ID: 3bec7182e39cb4af10ed8920639adfa78a28ed81 |
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sec-wf-out.cwl
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Path: tests/wf/sec-wf-out.cwl Branch/Commit ID: 83038feb2a6fc3bab952e1ecc2a11bfbc8c557b4 |
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running cellranger mkfastq and count
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Path: definitions/subworkflows/cellranger_mkfastq_and_count.cwl Branch/Commit ID: 76a35e7d885790f30559beb31f3b58770e343afd |
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genome-kallisto-index.cwl
Generates a FASTA file with the DNA sequences for all transcripts in a GFF file and builds kallisto index |
Path: tools/genome-kallisto-index.cwl Branch/Commit ID: cf84038de256c7ca98657ad81734d1aca1dad8c1 |
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Cell Ranger Count (ATAC)
Cell Ranger Count (ATAC) Quantifies single-cell chromatin accessibility of the sequencing data from a single 10x Genomics library. The results of this workflow are used in either the “Single-Cell ATAC-Seq Filtering Analysis” or “Cell Ranger Aggregate (ATAC)” pipeline. |
Path: workflows/cellranger-atac-count.cwl Branch/Commit ID: fa4f172486288a1a9d23864f1d6962d85a453e16 |
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mut3.cwl
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Path: tests/wf/mut3.cwl Branch/Commit ID: 047e69bb169e79fad6a7285ee798c4ecec3b218b |
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Single-Cell Manual Cell Type Assignment
Single-Cell Manual Cell Type Assignment Assigns identities to cells clustered with any of the “Single-Cell Cluster Analysis” pipelines. For “Single-Cell RNA-Seq Cluster Analysis” the results of this workflow are used in the “Single-Cell RNA-Seq Differential Expression Analysis”, “Single-Cell RNA-Seq Trajectory Analysis”, and — when combined with outputs from the “Cell Ranger Count (RNA+VDJ)” or “Cell Ranger Aggregate (RNA, RNA+VDJ)” workflow — in the “Single-Cell Immune Profiling Analysis” pipeline. For “Single-Cell ATAC-Seq Cluster Analysis”, the results of this workflow are used in the “Single-Cell ATAC-Seq Differential Accessibility Analysis” and “Single-Cell ATAC-Seq Genome Coverage” pipelines. For “Single-Cell WNN Cluster Analysis”, the results of this workflow are used in all of the above, except the “Single-Cell Immune Profiling Analysis” pipeline. |
Path: workflows/sc-ctype-assign.cwl Branch/Commit ID: 549fac35bf6b8b1c25af0f4f6c3f162c40dc130e |
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allele-alignreads-se-pe.cwl
Workflow maps FASTQ files from `fastq_files` input into reference genome `reference_star_indices_folder` and insilico generated `insilico_star_indices_folder` genome (concatenated genome for both `strain1` and `strain2` strains). For both genomes STAR is run with `outFilterMultimapNmax` parameter set to 1 to discard all of the multimapped reads. For insilico genome SAM file is generated. Then it's splitted into two SAM files based on strain names and then sorted by coordinates into the BAM format. For reference genome output BAM file from STAR slignment is also coordinate sorted. |
Path: subworkflows/allele-alignreads-se-pe.cwl Branch/Commit ID: 9b4dc225c537685b9c9a32d931d3892d20953dd7 |
