Whole transcriptome analysis of Arabidopsis thaliana

transcriptomics-mirna-target-finder/main-workflow

Author(s)
Pavankumar Videm
version Version
4
last_modification Last updated
Aug 10, 2025
license License
CC-BY-4.0
galaxy-tags Tags
transcriptomics
plant

Features
Tutorial
hands_on Whole transcriptome analysis of Arabidopsis thaliana

Workflow Testing
Tests: ✅
Results: Not yet automated
FAIRness purl PURL
https://gxy.io/GTN:W00242
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 Collection\nControl miRNA"];
  style 0 stroke:#2c3143,stroke-width:4px;
  1["ℹ️ Input Collection\nBR treated miRNA"];
  style 1 stroke:#2c3143,stroke-width:4px;
  2["ℹ️ Input Dataset\nmiRNA_stem-loop_seq.fasta"];
  style 2 stroke:#2c3143,stroke-width:4px;
  3["ℹ️ Input Dataset\nmiRNA_DESeq2_results_complete_dataset"];
  style 3 stroke:#2c3143,stroke-width:4px;
  4["ℹ️ Input Dataset\nmature_miRNA_AT.fasta"];
  style 4 stroke:#2c3143,stroke-width:4px;
  5["ℹ️ Input Dataset\nstar_miRNA_seq.fasta"];
  style 5 stroke:#2c3143,stroke-width:4px;
  6["ℹ️ Input Dataset\nmRNA_DESeq2_results_complete_dataset.tabular"];
  style 6 stroke:#2c3143,stroke-width:4px;
  7["ℹ️ Input Dataset\ntranscriptome.fasta"];
  style 7 stroke:#2c3143,stroke-width:4px;
  8["ℹ️ Input Collection\nBR treated mRNA"];
  style 8 stroke:#2c3143,stroke-width:4px;
  9["ℹ️ Input Collection\nControl mRNA"];
  style 9 stroke:#2c3143,stroke-width:4px;
  10["ℹ️ Input Dataset\nannotation_AtRTD2.gtf"];
  style 10 stroke:#2c3143,stroke-width:4px;
  11["Falco"];
  0 -->|output| 11;
  12["Trim Galore!"];
  0 -->|output| 12;
  13["Falco"];
  1 -->|output| 13;
  14["Trim Galore!"];
  1 -->|output| 14;
  15["Filter"];
  3 -->|output| 15;
  16["Filter"];
  6 -->|output| 16;
  17["Falco"];
  8 -->|output| 17;
  18["Falco"];
  9 -->|output| 18;
  19["Salmon quant"];
  10 -->|output| 19;
  8 -->|output| 19;
  7 -->|output| 19;
  20["Salmon quant"];
  10 -->|output| 20;
  9 -->|output| 20;
  7 -->|output| 20;
  21["Falco"];
  12 -->|trimmed_reads_single| 21;
  22["MiRDeep2 Mapper"];
  12 -->|trimmed_reads_single| 22;
  23["Merge collections"];
  11 -->|text_file| 23;
  13 -->|text_file| 23;
  24["Falco"];
  14 -->|trimmed_reads_single| 24;
  25["MiRDeep2 Mapper"];
  14 -->|trimmed_reads_single| 25;
  26["Filter"];
  15 -->|out_file1| 26;
  27["Filter"];
  16 -->|out_file1| 27;
  28["Filter"];
  16 -->|out_file1| 28;
  29["Merge collections"];
  18 -->|text_file| 29;
  17 -->|text_file| 29;
  30["DESeq2"];
  19 -->|output_gene_quant| 30;
  20 -->|output_gene_quant| 30;
  10 -->|output| 30;
  fa5917e8-0ccd-4918-aa4f-6a5ce0ef59c2["Output\nDESeq2 results subsample mRNA"];
  30 --> fa5917e8-0ccd-4918-aa4f-6a5ce0ef59c2;
  style fa5917e8-0ccd-4918-aa4f-6a5ce0ef59c2 stroke:#2c3143,stroke-width:4px;
  31["MiRDeep2 Quantifier"];
  4 -->|output| 31;
  2 -->|output| 31;
  22 -->|output_reads_collapsed| 31;
  5 -->|output| 31;
  32["MultiQC"];
  23 -->|output| 32;
  33["Merge collections"];
  21 -->|text_file| 33;
  24 -->|text_file| 33;
  34["MiRDeep2 Quantifier"];
  4 -->|output| 34;
  2 -->|output| 34;
  25 -->|output_reads_collapsed| 34;
  5 -->|output| 34;
  35["Sort"];
  26 -->|out_file1| 35;
  36["Cut"];
  26 -->|out_file1| 36;
  37["Cut"];
  28 -->|out_file1| 37;
  38["MultiQC"];
  29 -->|output| 38;
  39["Cut"];
  31 -->|miRNAsExpressed| 39;
  40["MultiQC"];
  33 -->|output| 40;
  41["Cut"];
  34 -->|miRNAsExpressed| 41;
  42["Filter FASTA"];
  36 -->|out_file1| 42;
  4 -->|output| 42;
  43["Filter FASTA"];
  36 -->|out_file1| 43;
  5 -->|output| 43;
  44["Filter FASTA"];
  37 -->|out_file1| 44;
  7 -->|output| 44;
  45["DESeq2"];
  41 -->|out_file1| 45;
  39 -->|out_file1| 45;
  73bf0109-9ccd-4718-bea0-9f66a05882fb["Output\nDESeq2 results subsample miRNA"];
  45 --> 73bf0109-9ccd-4718-bea0-9f66a05882fb;
  style 73bf0109-9ccd-4718-bea0-9f66a05882fb stroke:#2c3143,stroke-width:4px;
  46["Concatenate datasets"];
  42 -->|output| 46;
  43 -->|output| 46;
  47["Filter"];
  45 -->|deseq_out| 47;
  48["TargetFinder"];
  44 -->|output| 48;
  46 -->|out_file1| 48;
  35422953-279c-488a-a82c-cfbf4951aed5["Output\nTargetFinder output"];
  48 --> 35422953-279c-488a-a82c-cfbf4951aed5;
  style 35422953-279c-488a-a82c-cfbf4951aed5 stroke:#2c3143,stroke-width:4px;

Inputs

Input Label
Input dataset collection Control miRNA
Input dataset collection BR treated miRNA
Input dataset miRNA_stem-loop_seq.fasta
Input dataset miRNA_DESeq2_results_complete_dataset
Input dataset mature_miRNA_AT.fasta
Input dataset star_miRNA_seq.fasta
Input dataset mRNA_DESeq2_results_complete_dataset.tabular
Input dataset transcriptome.fasta
Input dataset collection BR treated mRNA
Input dataset collection Control mRNA
Input dataset annotation_AtRTD2.gtf

Outputs

From Output Label
toolshed.g2.bx.psu.edu/repos/iuc/deseq2/deseq2/2.11.40.8+galaxy0 DESeq2
toolshed.g2.bx.psu.edu/repos/iuc/deseq2/deseq2/2.11.40.8+galaxy0 DESeq2
toolshed.g2.bx.psu.edu/repos/rnateam/targetfinder/targetfinder/1.7.0+galaxy1 TargetFinder

Tools

Tool Links
Cut1
Filter1
__MERGE_COLLECTION__
cat1
sort1
toolshed.g2.bx.psu.edu/repos/bgruening/salmon/salmon/1.10.1+galaxy2 View in ToolShed
toolshed.g2.bx.psu.edu/repos/bgruening/trim_galore/trim_galore/0.6.10+galaxy0 View in ToolShed
toolshed.g2.bx.psu.edu/repos/galaxyp/filter_by_fasta_ids/filter_by_fasta_ids/2.3 View in ToolShed
toolshed.g2.bx.psu.edu/repos/iuc/deseq2/deseq2/2.11.40.8+galaxy0 View in ToolShed
toolshed.g2.bx.psu.edu/repos/iuc/falco/falco/1.2.4+galaxy0 View in ToolShed
toolshed.g2.bx.psu.edu/repos/iuc/multiqc/multiqc/1.27+galaxy3 View in ToolShed
toolshed.g2.bx.psu.edu/repos/iuc/multiqc/multiqc/1.8+galaxy1 View in ToolShed
toolshed.g2.bx.psu.edu/repos/rnateam/mirdeep2_mapper/rbc_mirdeep2_mapper/2.0.0.8.1 View in ToolShed
toolshed.g2.bx.psu.edu/repos/rnateam/mirdeep2_quantifier/rbc_mirdeep2_quantifier/2.0.0 View in ToolShed
toolshed.g2.bx.psu.edu/repos/rnateam/targetfinder/targetfinder/1.7.0+galaxy1 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
  1. Click on galaxy-workflows-activity Workflows in the Galaxy activity bar (on the left side of the screen, or in the top menu bar of older Galaxy instances). You will see a list of all your workflows
  2. Click on galaxy-upload Import at the top-right of the screen
  3. 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”
  4. 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
9 badb99b15 2025-07-16 13:58:37 fix linting
8 82a601efc 2025-07-15 16:45:53 update the workflow and add link to history
7 87d458cc1 2023-01-19 17:35:35 Undo error
6 edf36428b 2022-12-01 02:42:29 Fix tutorial
5 a6636e324 2021-04-07 02:00:34 add tags and annotation to the workflow
4 a5a1a7567 2021-04-07 01:52:31 Update workflow for miRNA target identification in Arabidopsis
3 0eacaeef4 2021-03-31 12:47:36 Update workflow and include downregulated miRNAS
2 bdbe72dd2 2021-03-25 20:01:53 Fix tests workflow
1 4b406638c 2021-03-25 19:28:23 New training: miRNA target finder

For Admins

Installing the workflow tools

wget https://training.galaxyproject.org/training-material/topics/transcriptomics/tutorials/mirna-target-finder/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