Explore Workflows
View already parsed workflows here or click here to add your own
| Graph | Name | Retrieved From | View |
|---|---|---|---|
|
|
bact_get_kmer_reference
|
https://github.com/ncbi/pgap.git
Path: task_types/tt_bact_get_kmer_reference.cwl Branch/Commit ID: 251343ee5b7586ba2cf89458555f1da87a7558f2 |
|
|
|
Generate genome indices for Bismark
Copy genome_fasta file to the folder and run run bismark_genome_preparation script to prepare indices for Bismark Methylation Analysis. Bowtie2 aligner is used by default. The name of the output indices folder is equal to the genome_fasta file basename without extension. |
https://github.com/datirium/workflows.git
Path: workflows/bismark-indices.cwl Branch/Commit ID: d6f58c383d0676269afb519399061191a1144a6a |
|
|
|
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). |
https://github.com/datirium/workflows.git
Path: workflows/bismark-methylation-se.cwl Branch/Commit ID: d6f58c383d0676269afb519399061191a1144a6a |
|
|
|
umi molecular alignment fastq workflow
|
https://github.com/genome/analysis-workflows.git
Path: definitions/pipelines/alignment_umi_molecular.cwl Branch/Commit ID: 3bebaf9b70331de9f4845e2223c55082f5a812fb |
|
|
|
mut2.cwl
|
https://github.com/common-workflow-language/cwltool.git
Path: tests/wf/mut2.cwl Branch/Commit ID: 1e5ad10c6b0d1c5f531737d12ef64062a00baef2 |
|
|
|
format_rrnas_from_seq_entry
|
https://github.com/ncbi/pgap.git
Path: task_types/tt_format_rrnas_from_seq_entry.cwl Branch/Commit ID: 0d9e6bb52eac0c209af3977aa779e39aaa432458 |
|
|
|
gather AML trio outputs
|
https://github.com/genome/analysis-workflows.git
Path: definitions/pipelines/aml_trio_cle_gathered.cwl Branch/Commit ID: d3e4bf55753cd92f97537c7d701187ea92d1e5f0 |
|
|
|
allele-process-reference.cwl
|
https://github.com/datirium/workflows.git
Path: workflows/allele-process-reference.cwl Branch/Commit ID: 4b8bb1a1ec39056253ca8eee976078e51f4a954e |
|
|
|
kmer_cache_retrieve
|
https://github.com/ncbi/pgap.git
Path: task_types/tt_kmer_cache_retrieve.cwl Branch/Commit ID: 0bc1c33a2293e054ad00974971edc79c13252cc7 |
|
|
|
exome alignment and somatic variant detection for cle purpose
|
https://github.com/genome/analysis-workflows.git
Path: definitions/pipelines/somatic_exome_cle.cwl Branch/Commit ID: 038cb3617a1966a1057386adcde97ce55d9e1139 |
