Explore Workflows
View already parsed workflows here or click here to add your own
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scatter-wf3.cwl#main
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![]() Path: cwltool/schemas/v1.0/v1.0/scatter-wf3.cwl Branch/Commit ID: 9a8e654a91ea5d26e8452dd1cecf3faf22b7a12e Packed ID: main |
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kmer_cache_retrieve
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![]() Path: task_types/tt_kmer_cache_retrieve.cwl Branch/Commit ID: 5463361069e263ad6455858e054c1337b1d9e752 |
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umi duplex alignment workflow
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![]() Path: definitions/subworkflows/duplex_alignment.cwl Branch/Commit ID: 00df82a529a58d362158110581e1daa28b4d7ecb |
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align_merge_sas
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![]() Path: task_types/tt_align_merge_sas.cwl Branch/Commit ID: 001e133e0eedaf0dd8447e3f8b3cc898ec6e3e1d |
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Merge, annotate, and generate a TSV for SVs
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![]() Path: definitions/subworkflows/merge_svs.cwl Branch/Commit ID: 00df82a529a58d362158110581e1daa28b4d7ecb |
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Unaligned BAM to BQSR and VCF
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![]() Path: definitions/subworkflows/bam_to_bqsr_no_dup_marking.cwl Branch/Commit ID: 04d21c33a5f2950e86db285fa0a32a6659198d8a |
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cram_to_bam workflow
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![]() Path: definitions/subworkflows/cram_to_bam_and_index.cwl Branch/Commit ID: 844c10a4466ab39c02e5bfa7a210c195b8efa77a |
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Bismark Methylation - pipeline for BS-Seq data analysis
Sequence reads are first cleaned from adapters and transformed into fully bisulfite-converted forward (C->T) and reverse read (G->A conversion of the forward strand) versions, before they are aligned to similarly converted versions of the genome (also C->T and G->A converted). Sequence reads that produce a unique best alignment from the four alignment processes against the bisulfite genomes (which are running in parallel) are then compared to the normal genomic sequence and the methylation state of all cytosine positions in the read is inferred. A read is considered to align uniquely if an alignment has a unique best alignment score (as reported by the AS:i field). If a read produces several alignments with the same number of mismatches or with the same alignment score (AS:i field), a read (or a read-pair) is discarded altogether. On the next step we extract the methylation call for every single C analysed. The position of every single C will be written out to a new output file, depending on its context (CpG, CHG or CHH), whereby methylated Cs will be labelled as forward reads (+), non-methylated Cs as reverse reads (-). The output of the methylation extractor is then transformed into a bedGraph and coverage file. The bedGraph counts output is then used to generate a genome-wide cytosine report which reports the number on every single CpG (optionally every single cytosine) in the genome, irrespective of whether it was covered by any reads or not. As this type of report is informative for cytosines on both strands the output may be fairly large (~46mn CpG positions or >1.2bn total cytosine positions in the human genome). |
![]() Path: workflows/bismark-methylation-se.cwl Branch/Commit ID: 2f0db4b3c515f91c5cfda19c78cf90d339390986 |
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samtools_mpileup_subpipeline.cwl
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![]() Path: janis_pipelines/wgs_somatic/cwl/tools/samtools_mpileup_subpipeline.cwl Branch/Commit ID: 1d45492ae0085824a7ac532d0dfa6621c1cbe415 |
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Vcf concordance evaluation workflow
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![]() Path: definitions/subworkflows/vcf_eval_concordance.cwl Branch/Commit ID: bed420556091b7b8b45cf20a95e5947e1de9a416 |