Explore Workflows
View already parsed workflows here or click here to add your own
| Graph | Name | Retrieved From | View |
|---|---|---|---|
|
|
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: 4dcc405133f22c63478b6091fb5f591b6be8950f |
|
|
|
kmer_seq_entry_extract_wnode
|
Path: task_types/tt_kmer_seq_entry_extract_wnode.cwl Branch/Commit ID: b548dc1ec6cb90d14d57a813fb69430adaa1c425 |
|
|
|
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: 36fd18f11e939d3908b1eca8d2939402f7a99b0f |
|
|
|
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: dda9e6e06a656b7b3fa7504156474b962fe3953c |
|
|
|
Build STAR indices
Workflow runs [STAR](https://github.com/alexdobin/STAR) v2.5.3a (03/17/2017) PMID: [23104886](https://www.ncbi.nlm.nih.gov/pubmed/23104886) to build indices for reference genome provided in a single FASTA file as fasta_file input and GTF annotation file from annotation_gtf_file input. Generated indices are saved in a folder with the name that corresponds to the input genome. |
Path: workflows/star-index.cwl Branch/Commit ID: d1bef74924efcb8bfaa00987b3f148d5a192b7a9 |
|
|
|
Genelists heatmap - peak and expression data visualized together
# Genelists heatmap - peak and expression data visualized together This visualization workflow takes as input 1 or more genelists derived from the DESeq and/or diffbind workflows along with user-selected samples and visualizes the ChIP/ATAC-Seq peak and/or RNA-Seq expression data visualized together in a single morpheus heatmap. ### __References__ - Morpheus, https://software.broadinstitute.org/morpheus |
Path: workflows/genelists-deseq-diffbind.cwl Branch/Commit ID: 549fac35bf6b8b1c25af0f4f6c3f162c40dc130e |
|
|
|
blastp_wnode_struct
|
Path: task_types/tt_blastp_wnode_struct.cwl Branch/Commit ID: 1e16653514fd5629a704516eb447043c9fd0a53b |
|
|
|
Single-Cell Preprocessing Pipeline
Devel version of Single-Cell Preprocessing Pipeline =================================================== |
Path: workflows/single-cell-preprocess.cwl Branch/Commit ID: 954bb2f213d97dfef1cddaf9e830169a92ad0c6b |
|
|
|
count-lines1-wf.cwl
|
Path: tests/wf/count-lines1-wf.cwl Branch/Commit ID: 7bfe73a708dbf31d037303bb5a8fed1a79984b0f |
|
|
|
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: 69623308d3b5577a4672b1d5aaf104ad1a259b20 |
