ATAC-seq GTM
epigenetics-cut_and_run/main-workflow
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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;
Inputs
Input | Label |
---|---|
Input dataset | bed file with genes |
Input dataset | ctcf peaks |
Input dataset | ATAC R2 read in fastq(.gz) format |
Input dataset | ATAC R1 read in fastq(.gz) format |
Outputs
From | Output | Label |
---|---|---|
Filter1 | Filter | |
toolshed.g2.bx.psu.edu/repos/devteam/fastqc/fastqc/0.72+galaxy1 | FastQC | |
toolshed.g2.bx.psu.edu/repos/lparsons/cutadapt/cutadapt/1.16.5 | Cutadapt | ATAC remove nextera adapters with cutadapt |
toolshed.g2.bx.psu.edu/repos/devteam/fastqc/fastqc/0.72+galaxy1 | FastQC | |
toolshed.g2.bx.psu.edu/repos/iuc/bedtools/bedtools_intersectbed/2.30.0 | bedtools Intersect intervals | |
toolshed.g2.bx.psu.edu/repos/devteam/fastqc/fastqc/0.72+galaxy1 | FastQC | |
toolshed.g2.bx.psu.edu/repos/devteam/bowtie2/bowtie2/2.4.2+galaxy0 | Bowtie2 | |
toolshed.g2.bx.psu.edu/repos/devteam/fastqc/fastqc/0.72+galaxy1 | FastQC | |
toolshed.g2.bx.psu.edu/repos/devteam/bamtools_filter/bamFilter/2.4.1 | Filter | Filter BAM ATAC |
toolshed.g2.bx.psu.edu/repos/devteam/picard/picard_MarkDuplicates/2.18.2.2 | MarkDuplicates | |
toolshed.g2.bx.psu.edu/repos/iuc/bedtools/bedtools_bamtobed/2.30.0 | bedtools BAM to BED | |
toolshed.g2.bx.psu.edu/repos/iuc/pe_histogram/pe_histogram/1.0.1 | Paired-end histogram | |
toolshed.g2.bx.psu.edu/repos/iuc/macs2/macs2_callpeak/2.1.1.20160309.6 | MACS2 callpeak | |
wig_to_bigWig | Wig/BedGraph-to-bigWig | |
toolshed.g2.bx.psu.edu/repos/bgruening/deeptools_compute_matrix/deeptools_compute_matrix/3.3.2.0.0 | computeMatrix | |
toolshed.g2.bx.psu.edu/repos/iuc/pygenometracks/pygenomeTracks/3.6 | pyGenomeTracks | |
toolshed.g2.bx.psu.edu/repos/bgruening/deeptools_compute_matrix/deeptools_compute_matrix/3.3.2.0.0 | computeMatrix | |
toolshed.g2.bx.psu.edu/repos/bgruening/deeptools_plot_heatmap/deeptools_plot_heatmap/3.3.2.0.1 | plotHeatmap | |
toolshed.g2.bx.psu.edu/repos/bgruening/deeptools_plot_heatmap/deeptools_plot_heatmap/3.3.2.0.1 | plotHeatmap |
Tools
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:
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