ATAC-seq GTM

epigenetics-cut_and_run/main-workflow

Author(s)

version Version
1
last_modification Last updated
Jul 26, 2021
license License
None Specified, defaults to CC-BY-4.0
galaxy-tags Tags
epigenetics

Features

Tutorial
hands_on CUT&RUN data analysis

Workflow Testing
Tests: ❌
Results: Not yet automated
FAIRness purl PURL
https://gxy.io/GTN:W00064
RO-Crate logo with flask Download Workflow RO-Crate Workflowhub cloud with gears logo View on WorkflowHub
Launch in Tutorial Mode question
galaxy-download Download
flowchart TD
  0["ℹ️ Input Dataset\nbed file with genes"];
  style 0 stroke:#2c3143,stroke-width:4px;
  1["ℹ️ Input Dataset\nctcf peaks"];
  style 1 stroke:#2c3143,stroke-width:4px;
  2["ℹ️ Input Dataset\nATAC R2 read in fastq.gz format"];
  style 2 stroke:#2c3143,stroke-width:4px;
  3["ℹ️ Input Dataset\nATAC R1 read in fastq.gz format"];
  style 3 stroke:#2c3143,stroke-width:4px;
  4["Filter"];
  1 -->|output| 4;
  5["FastQC"];
  2 -->|output| 5;
  6["ATAC remove nextera adapters with cutadapt"];
  3 -->|output| 6;
  2 -->|output| 6;
  7["FastQC"];
  3 -->|output| 7;
  8["bedtools Intersect intervals"];
  4 -->|out_file1| 8;
  0 -->|output| 8;
  9["FastQC"];
  6 -->|out2| 9;
  10["Bowtie2"];
  6 -->|out1| 10;
  6 -->|out2| 10;
  11["FastQC"];
  6 -->|out1| 11;
  12["Filter BAM ATAC"];
  10 -->|output| 12;
  13["MarkDuplicates"];
  12 -->|out_file1| 13;
  14["bedtools BAM to BED"];
  13 -->|outFile| 14;
  15["Paired-end histogram"];
  13 -->|outFile| 15;
  16["MACS2 callpeak"];
  14 -->|output| 16;
  17["Wig/BedGraph-to-bigWig"];
  16 -->|output_treat_pileup| 17;
  18["computeMatrix"];
  17 -->|out_file1| 18;
  0 -->|output| 18;
  19["pyGenomeTracks"];
  17 -->|out_file1| 19;
  16 -->|output_narrowpeaks| 19;
  0 -->|output| 19;
  1 -->|output| 19;
  20["computeMatrix"];
  17 -->|out_file1| 20;
  8 -->|output| 20;
  65159c9c-050b-4069-8704-8f66c0563a98["Output\ncomputeMatrix on input dataset(s): Matrix"];
  20 --> 65159c9c-050b-4069-8704-8f66c0563a98;
  style 65159c9c-050b-4069-8704-8f66c0563a98 stroke:#2c3143,stroke-width:4px;
  21["plotHeatmap"];
  18 -->|outFileName| 21;
  22["plotHeatmap"];
  20 -->|outFileName| 22;
  74a36643-b88f-4378-8f9c-c1b20ee2651e["Output\nplotHeatmap on input dataset(s): Image"];
  22 --> 74a36643-b88f-4378-8f9c-c1b20ee2651e;
  style 74a36643-b88f-4378-8f9c-c1b20ee2651e stroke:#2c3143,stroke-width:4px;

To use these workflows in Galaxy you can either click the links to download the workflows, or you can right-click and copy the link to the workflow which can be used in the Galaxy form to import workflows.

Importing into Galaxy

Below are the instructions for importing these workflows directly into your Galaxy server of choice to start using them!
Hands-on: Importing a workflow
  • Click on Workflow on the top menu bar of Galaxy. You will see a list of all your workflows.
  • Click on galaxy-upload Import at the top-right of the screen
  • Provide your workflow
    • Option 1: Paste the URL of the workflow into the box labelled “Archived Workflow URL”
    • Option 2: Upload the workflow file in the box labelled “Archived Workflow File”
  • Click the Import workflow button

Below is a short video demonstrating how to import a workflow from GitHub using this procedure:

Video: Importing a workflow from URL

Version History

Version Commit Time Comments
1 c32dabaf3 2021-07-26 11:12:40 Adding cut and run

For Admins

Installing the workflow tools

wget https://training.galaxyproject.org/training-material/topics/epigenetics/tutorials/cut_and_run/workflows/main_workflow.ga -O workflow.ga
workflow-to-tools -w workflow.ga -o tools.yaml
shed-tools install -g GALAXY -a API_KEY -t tools.yaml
workflow-install -g GALAXY -a API_KEY -w workflow.ga --publish-workflows