Identification of the binding sites of the T-cell acute lymphocytic leukemia protein 1 (TAL1)

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flowchart TD
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  1["ℹ️ Input Dataset\nG1E_input_R2_downsampled_SRR507860.fastqsanger"];
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  2["ℹ️ Input Dataset\nG1E_Tal1_R1_downsampled_SRR492444.fastqsanger"];
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  3["ℹ️ Input Dataset\nG1E_Tal1_R2_downsampled_SRR492445.fastqsanger"];
  style 3 stroke:#2c3143,stroke-width:4px;
  4["ℹ️ Input Dataset\nMegakaryocyte_input_R1_downsampled_SRR492453.fastqsanger"];
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  5["ℹ️ Input Dataset\nMegakaryocyte_input_R2_downsampled_SRR492454.fastqsanger"];
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  6["ℹ️ Input Dataset\nMegakaryocyte_Tal1_R1_downsampled_SRR549006.fastqsanger"];
  style 6 stroke:#2c3143,stroke-width:4px;
  7["ℹ️ Input Dataset\nMegakaryocytes_Tal1_R2_downsampled_SRR549007.fastqsanger"];
  style 7 stroke:#2c3143,stroke-width:4px;
  8["ℹ️ Input Dataset\nRefSeq_gene_annotations_mm10.bed"];
  style 8 stroke:#2c3143,stroke-width:4px;
  9["FastQC"];
  0 -->|output| 9;
  10["Trimmomatic"];
  0 -->|output| 10;
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  7 -->|output| 23;
  24["Trimmomatic"];
  7 -->|output| 24;
  25["FastQC"];
  10 -->|fastq_out| 25;
  26["Map with BWA"];
  10 -->|fastq_out| 26;
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  28["Map with BWA"];
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  30["Map with BWA"];
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  33["FastQC"];
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  34["Map with BWA"];
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  35["FastQC"];
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  37["FastQC"];
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  38["Map with BWA"];
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  39["FastQC"];
  24 -->|fastq_out| 39;
  40["Map with BWA"];
  24 -->|fastq_out| 40;
  41["Samtools idxstats"];
  26 -->|bam_output| 41;
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  30 -->|bam_output| 44;
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  45["Samtools idxstats"];
  32 -->|bam_output| 45;
  46["plotFingerprint"];
  26 -->|bam_output| 46;
  28 -->|bam_output| 46;
  30 -->|bam_output| 46;
  32 -->|bam_output| 46;
  47["MACS2 callpeak"];
  26 -->|bam_output| 47;
  28 -->|bam_output| 47;
  30 -->|bam_output| 47;
  32 -->|bam_output| 47;
  48["bamCompare"];
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  40 -->|bam_output| 54;
  55["plotFingerprint"];
  34 -->|bam_output| 55;
  36 -->|bam_output| 55;
  38 -->|bam_output| 55;
  40 -->|bam_output| 55;
  56["MACS2 callpeak"];
  34 -->|bam_output| 56;
  36 -->|bam_output| 56;
  38 -->|bam_output| 56;
  40 -->|bam_output| 56;
  57["bamCompare"];
  40 -->|bam_output| 57;
  36 -->|bam_output| 57;
  58["computeMatrix"];
  44 -->|outFileName| 58;
  48 -->|outFileName| 58;
  47 -->|output_narrowpeaks| 58;
  59["plotCorrelation"];
  54 -->|outFile| 59;
  60["bedtools Intersect intervals"];
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  56 -->|output_narrowpeaks| 60;
  20fdc3a5-87dd-492b-8bb1-3e3abd148be8["Output\noutput_overlapping_peaks"];
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  61["bedtools Intersect intervals"];
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  56 -->|output_narrowpeaks| 61;
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  47 -->|output_narrowpeaks| 62;
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  65["plotHeatmap"];
  63 -->|outFileName| 65;

Inputs

Outputs

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

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

For Admins

Installing the workflow tools

wget https://training.galaxyproject.org/training-material/topics/epigenetics/tutorials/tal1-binding-site-identification/workflows/tal1-binding-site-identification-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