Explore Workflows
View already parsed workflows here or click here to add your own
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foreign_screening.cwl
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![]() Path: vecscreen/foreign_screening.cwl Branch/Commit ID: 5e92165ac2c11608ab2db42fe2d66eabe72dbb40 |
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exome alignment and somatic variant detection for cle purpose
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![]() Path: definitions/pipelines/somatic_exome_cle.cwl Branch/Commit ID: 788bdc99c1d5b6ee7c431c3c011eb30d385c1370 |
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THOR - differential peak calling of ChIP-seq signals with replicates
What is THOR? -------------- THOR is an HMM-based approach to detect and analyze differential peaks in two sets of ChIP-seq data from distinct biological conditions with replicates. THOR performs genomic signal processing, peak calling and p-value calculation in an integrated framework. For more information please refer to: ------------------------------------- Allhoff, M., Sere K., Freitas, J., Zenke, M., Costa, I.G. (2016), Differential Peak Calling of ChIP-seq Signals with Replicates with THOR, Nucleic Acids Research, epub gkw680. |
![]() Path: workflows/rgt-thor.cwl Branch/Commit ID: 9e3c3e65c19873cd1ed3cf7cc3b94ebc75ae0cc5 |
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format_rrnas_from_seq_entry
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![]() Path: task_types/tt_format_rrnas_from_seq_entry.cwl Branch/Commit ID: 6fad27f92dd604eca0e341178f594a560d70953b |
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AltAnalyze ICGS
AltAnalyze ICGS =============== |
![]() Path: workflows/altanalyze-icgs.cwl Branch/Commit ID: 3d280a2a4b4f1560f56991086f712fa22ddc3364 |
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Run genomic CMsearch (Rfam rRNA)
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![]() Path: bacterial_ncrna/wf_gcmsearch.cwl Branch/Commit ID: 5282690e0f634a5f83107ba878fe62cbbb347408 |
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count-lines4-wf.cwl
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![]() Path: cwltool/schemas/v1.0/v1.0/count-lines4-wf.cwl Branch/Commit ID: 227f35a5ed50c423afba2353871950aa61d58872 |
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Exome QC workflow
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![]() Path: definitions/subworkflows/qc_exome.cwl Branch/Commit ID: 788bdc99c1d5b6ee7c431c3c011eb30d385c1370 |
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cnv_gridss
CNV GRIDSS calling |
![]() Path: structuralvariants/cwl/subworkflows/cnv_gridss.cwl Branch/Commit ID: 26ae4914651d5b3e188028d1e9d88a391b3f6730 |
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FastQC - a quality control tool for high throughput sequence data
FastQC - a quality control tool for high throughput sequence data ===================================== FastQC aims to provide a simple way to do some quality control checks on raw sequence data coming from high throughput sequencing pipelines. It provides a modular set of analyses which you can use to give a quick impression of whether your data has any problems of which you should be aware before doing any further analysis. The main functions of FastQC are: - Import of data from FastQ files (any variant) - Providing a quick overview to tell you in which areas there may be problems - Summary graphs and tables to quickly assess your data - Export of results to an HTML based permanent report - Offline operation to allow automated generation of reports without running the interactive application |
![]() Path: workflows/fastqc.cwl Branch/Commit ID: 9e3c3e65c19873cd1ed3cf7cc3b94ebc75ae0cc5 |