Explore Workflows
View already parsed workflows here or click here to add your own
| Graph | Name | Retrieved From | View |
|---|---|---|---|
|
|
hmmsearch_wnode and gpx_qdump combined workflow to apply scatter/gather
|
Path: task_types/tt_hmmsearch_wnode_plus_qdump.cwl Branch/Commit ID: 3a89a217ca75ec042ce3a11ebb6d1664a3ec6e7e |
|
|
|
Xenbase ChIP-Seq pipeline single-read
1. Convert input SRA file into FASTQ file (run fastq-dump) 2. Analyze quality of FASTQ file (run fastqc) 3. If any of the following fields in fastqc generated report is marked as failed: \"Per base sequence quality\", \"Per sequence quality scores\", \"Overrepresented sequences\", \"Adapter Content\", - trim adapters (run trimmomatic) 4. Align original or trimmed FASTQ file to reference genome (run Bowtie2) 5. Sort and index generated by Bowtie2 BAM file (run samtools sort, samtools index) 6. Remove duplicates in sorted BAM file (run picard) 7. Sort and index BAM file after duplicates removing (run samtools sort, samtools index) 8. Count mapped reads number in sorted BAM file (run bamtools stats) 9. Generate genome coverage BED file (run bedtools genomecov) 10. Sort genearted BED file (run sort) 11. Generate genome coverage bigWig file from BED file (run bedGraphToBigWig) |
Path: workflows/xenbase-chipseq-se.cwl Branch/Commit ID: 4106b7dc96e968db291b7a61ecd1641aa3b3dd6d |
|
|
|
extract_gencoll_ids
|
Path: task_types/tt_extract_gencoll_ids.cwl Branch/Commit ID: 76a9637a06e2102645eae29aff10b6f7185892a5 |
|
|
|
bact_get_kmer_reference
|
Path: task_types/tt_bact_get_kmer_reference.cwl Branch/Commit ID: ef266744578e2dcbce57c110c6fa3b9eee91e316 |
|
|
|
tt_hmmsearch_wnode.cwl
|
Path: task_types/tt_hmmsearch_wnode.cwl Branch/Commit ID: 1b8d71c75156a1a62bf0477d59db26010e2dcc29 |
|
|
|
validate_interleaved_fq.cwl
|
Path: cwls/validate_interleaved_fq.cwl Branch/Commit ID: edef7383acae1215a34ddfa6388224570c582c9f |
|
|
|
Hello World
Outputs a message using echo |
Path: tests/wf/hello-workflow.cwl Branch/Commit ID: 819c81af5449ec912bbbbead042ad66b8d3fd8d4 |
|
|
|
Hello World
Outputs a message using echo |
Path: tests/wf/hello-workflow.cwl Branch/Commit ID: d5f7fa162611243f0c66dd3e933c16a4964a09ca |
|
|
|
kmer_build_tree
|
Path: task_types/tt_kmer_build_tree.cwl Branch/Commit ID: 6d8d29a2156b93a75f1d1c6952738bd63f6bd98e |
|
|
|
DiffBind - Differential Binding Analysis of ChIP-Seq Peak Data
Differential Binding Analysis of ChIP-Seq Peak Data --------------------------------------------------- DiffBind processes ChIP-Seq data enriched for genomic loci where specific protein/DNA binding occurs, including peak sets identified by ChIP-Seq peak callers and aligned sequence read datasets. It is designed to work with multiple peak sets simultaneously, representing different ChIP experiments (antibodies, transcription factor and/or histone marks, experimental conditions, replicates) as well as managing the results of multiple peak callers. For more information please refer to: ------------------------------------- Ross-Innes CS, Stark R, Teschendorff AE, Holmes KA, Ali HR, Dunning MJ, Brown GD, Gojis O, Ellis IO, Green AR, Ali S, Chin S, Palmieri C, Caldas C, Carroll JS (2012). “Differential oestrogen receptor binding is associated with clinical outcome in breast cancer.” Nature, 481, -4. |
Path: workflows/diffbind.cwl Branch/Commit ID: f3e44d3b0f198cf5245c49011124dc3b6c2b06fd |
