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

epigenetics-tal1-binding-site-identification/tal1-binding-site-identification-workflow

Author(s)

version Version
1
last_modification Last updated
Oct 7, 2020
license License
None Specified, defaults to CC-BY-4.0
galaxy-tags Tags
epigenetics

Features

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

Workflow Testing
Tests: ✅
Results: Not yet automated
FAIRness purl PURL
https://gxy.io/GTN:W00071
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\nG1E_input_R1_downsampled_SRR507859.fastqsanger"];
  style 0 stroke:#2c3143,stroke-width:4px;
  1["ℹ️ Input Dataset\nG1E_input_R2_downsampled_SRR507860.fastqsanger"];
  style 1 stroke:#2c3143,stroke-width:4px;
  2["ℹ️ Input Dataset\nG1E_Tal1_R1_downsampled_SRR492444.fastqsanger"];
  style 2 stroke:#2c3143,stroke-width:4px;
  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"];
  style 4 stroke:#2c3143,stroke-width:4px;
  5["ℹ️ Input Dataset\nMegakaryocyte_input_R2_downsampled_SRR492454.fastqsanger"];
  style 5 stroke:#2c3143,stroke-width:4px;
  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;
  11["FastQC"];
  1 -->|output| 11;
  12["Trimmomatic"];
  1 -->|output| 12;
  13["FastQC"];
  2 -->|output| 13;
  14["Trimmomatic"];
  2 -->|output| 14;
  15["FastQC"];
  3 -->|output| 15;
  16["Trimmomatic"];
  3 -->|output| 16;
  17["FastQC"];
  4 -->|output| 17;
  18["Trimmomatic"];
  4 -->|output| 18;
  19["FastQC"];
  5 -->|output| 19;
  20["Trimmomatic"];
  5 -->|output| 20;
  21["FastQC"];
  6 -->|output| 21;
  22["Trimmomatic"];
  6 -->|output| 22;
  23["FastQC"];
  7 -->|output| 23;
  24["Trimmomatic"];
  7 -->|output| 24;
  25["FastQC"];
  10 -->|fastq_out| 25;
  26["Map with BWA"];
  10 -->|fastq_out| 26;
  27["FastQC"];
  12 -->|fastq_out| 27;
  28["Map with BWA"];
  12 -->|fastq_out| 28;
  29["FastQC"];
  14 -->|fastq_out| 29;
  30["Map with BWA"];
  14 -->|fastq_out| 30;
  31["FastQC"];
  16 -->|fastq_out| 31;
  32["Map with BWA"];
  16 -->|fastq_out| 32;
  33["FastQC"];
  18 -->|fastq_out| 33;
  34["Map with BWA"];
  18 -->|fastq_out| 34;
  35["FastQC"];
  20 -->|fastq_out| 35;
  36["Map with BWA"];
  20 -->|fastq_out| 36;
  37["FastQC"];
  22 -->|fastq_out| 37;
  38["Map with BWA"];
  22 -->|fastq_out| 38;
  39["FastQC"];
  24 -->|fastq_out| 39;
  40["Map with BWA"];
  24 -->|fastq_out| 40;
  41["Samtools idxstats"];
  26 -->|bam_output| 41;
  42["Samtools idxstats"];
  28 -->|bam_output| 42;
  43["Samtools idxstats"];
  30 -->|bam_output| 43;
  44["bamCompare"];
  30 -->|bam_output| 44;
  26 -->|bam_output| 44;
  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"];
  32 -->|bam_output| 48;
  28 -->|bam_output| 48;
  49["Samtools idxstats"];
  34 -->|bam_output| 49;
  50["Samtools idxstats"];
  36 -->|bam_output| 50;
  51["Samtools idxstats"];
  38 -->|bam_output| 51;
  52["bamCompare"];
  38 -->|bam_output| 52;
  34 -->|bam_output| 52;
  53["Samtools idxstats"];
  40 -->|bam_output| 53;
  54["multiBamSummary"];
  26 -->|bam_output| 54;
  28 -->|bam_output| 54;
  30 -->|bam_output| 54;
  32 -->|bam_output| 54;
  34 -->|bam_output| 54;
  36 -->|bam_output| 54;
  38 -->|bam_output| 54;
  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"];
  47 -->|output_narrowpeaks| 60;
  56 -->|output_narrowpeaks| 60;
  0d48a613-5d3c-46bb-8795-9bb35399ae82["Output\noutput_overlapping_peaks"];
  60 --> 0d48a613-5d3c-46bb-8795-9bb35399ae82;
  style 0d48a613-5d3c-46bb-8795-9bb35399ae82 stroke:#2c3143,stroke-width:4px;
  61["bedtools Intersect intervals"];
  47 -->|output_narrowpeaks| 61;
  56 -->|output_narrowpeaks| 61;
  d7a28606-a897-45f5-b784-abbf499a62e9["Output\noutput_g1e_peaks"];
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  62["bedtools Intersect intervals"];
  56 -->|output_narrowpeaks| 62;
  47 -->|output_narrowpeaks| 62;
  a924e63e-5f80-4ff0-9a31-99e481d5a825["Output\noutput_megakaryocyte_peaks"];
  62 --> a924e63e-5f80-4ff0-9a31-99e481d5a825;
  style a924e63e-5f80-4ff0-9a31-99e481d5a825 stroke:#2c3143,stroke-width:4px;
  63["computeMatrix"];
  52 -->|outFileName| 63;
  57 -->|outFileName| 63;
  56 -->|output_narrowpeaks| 63;
  64["plotHeatmap"];
  58 -->|outFileName| 64;
  65["plotHeatmap"];
  63 -->|outFileName| 65;

Inputs

Input Label
G1E_input_R1_downsampled_SRR507859.fastqsanger G1E_input_R1_downsampled_SRR507859.fastqsanger
G1E_input_R2_downsampled_SRR507860.fastqsanger G1E_input_R2_downsampled_SRR507860.fastqsanger
G1E_Tal1_R1_downsampled_SRR492444.fastqsanger G1E_Tal1_R1_downsampled_SRR492444.fastqsanger
G1E_Tal1_R2_downsampled_SRR492445.fastqsanger G1E_Tal1_R2_downsampled_SRR492445.fastqsanger
Megakaryocyte_input_R1_downsampled_SRR492453.fastqsanger Megakaryocyte_input_R1_downsampled_SRR492453.fastqsanger
Megakaryocyte_input_R2_downsampled_SRR492454.fastqsanger Megakaryocyte_input_R2_downsampled_SRR492454.fastqsanger
Megakaryocyte_Tal1_R1_downsampled_SRR549006.fastqsanger Megakaryocyte_Tal1_R1_downsampled_SRR549006.fastqsanger
Megakaryocytes_Tal1_R2_downsampled_SRR549007.fastqsanger Megakaryocytes_Tal1_R2_downsampled_SRR549007.fastqsanger
RefSeq_gene_annotations_mm10.bed RefSeq_gene_annotations_mm10.bed

Outputs

From Output Label
toolshed.g2.bx.psu.edu/repos/iuc/bedtools/bedtools_intersectbed/2.29.0 bedtools Intersect intervals
toolshed.g2.bx.psu.edu/repos/iuc/bedtools/bedtools_intersectbed/2.29.0 bedtools Intersect intervals
toolshed.g2.bx.psu.edu/repos/iuc/bedtools/bedtools_intersectbed/2.29.0 bedtools Intersect intervals

Tools

Tool Links
toolshed.g2.bx.psu.edu/repos/bgruening/deeptools_bam_compare/deeptools_bam_compare/3.3.2.0.0 View in ToolShed
toolshed.g2.bx.psu.edu/repos/bgruening/deeptools_compute_matrix/deeptools_compute_matrix/3.3.2.0.0 View in ToolShed
toolshed.g2.bx.psu.edu/repos/bgruening/deeptools_multi_bam_summary/deeptools_multi_bam_summary/3.3.2.0.0 View in ToolShed
toolshed.g2.bx.psu.edu/repos/bgruening/deeptools_plot_correlation/deeptools_plot_correlation/3.3.2.0.0 View in ToolShed
toolshed.g2.bx.psu.edu/repos/bgruening/deeptools_plot_fingerprint/deeptools_plot_fingerprint/3.3.2.0.0 View in ToolShed
toolshed.g2.bx.psu.edu/repos/bgruening/deeptools_plot_heatmap/deeptools_plot_heatmap/3.3.2.0.1 View in ToolShed
toolshed.g2.bx.psu.edu/repos/devteam/bwa/bwa/0.7.17.4 View in ToolShed
toolshed.g2.bx.psu.edu/repos/devteam/fastqc/fastqc/0.72+galaxy1 View in ToolShed
toolshed.g2.bx.psu.edu/repos/devteam/samtools_idxstats/samtools_idxstats/2.0.3 View in ToolShed
toolshed.g2.bx.psu.edu/repos/iuc/bedtools/bedtools_intersectbed/2.29.0 View in ToolShed
toolshed.g2.bx.psu.edu/repos/iuc/macs2/macs2_callpeak/2.1.1.20160309.6 View in ToolShed
toolshed.g2.bx.psu.edu/repos/pjbriggs/trimmomatic/trimmomatic/0.38.0 View in ToolShed

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
5 818f00219 2020-10-06 20:46:16 Fixed JSON format.
4 473da245d 2020-10-06 20:22:32 Updated outputs in workflow and test.yml.
3 3bee4c537 2020-10-06 19:28:34 Updated inputs in workflow and test.yml.
2 e9f2fa109 2020-10-06 10:48:12 Updated workflow with tags.
1 7fe3ca36a 2020-10-05 19:06:49 Added workflow.

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