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6caa409
Fixed spelling and local rendering issue
tojoa10 Feb 27, 2026
44dfaf5
Added a file to gitignore
tojoa10 Feb 27, 2026
b109fcb
Add QIIME2 PCoA tool to beta diversity section
tojoa10 Mar 6, 2026
a725e8b
Add QIIME2 feature-table summarize tool to microbial section
tojoa10 Mar 13, 2026
114ec2c
Add Krona visualization tool
tojoa10 Mar 13, 2026
56dd0b2
Visualise microbial abundance using heatmaps and taxonomy bar plots
tojoa10 Mar 13, 2026
5681040
added picrust2(functional annotation
tojoa10 Mar 13, 2026
090d6f3
Add metadata filtering tool
tojoa10 Mar 13, 2026
c4a13b5
Add RNASeq section and update intro grid layout
tojoa10 Mar 13, 2026
e716ae9
Updated gitignore
tojoa10 Mar 13, 2026
b6fd5d1
Add RNASeq section
tojoa10 Mar 18, 2026
f4f03ed
Add RNASeq tools section with QC and alignment
tojoa10 Mar 19, 2026
063ec75
Add RNASeq gene quantification step (featureCounts)
tojoa10 Mar 19, 2026
9f3c9d8
Add RNASeq filtering step
tojoa10 Mar 19, 2026
0673b17
Add normalization step to RNASeq workflow
tojoa10 Mar 19, 2026
08e1600
correction
tojoa10 Mar 19, 2026
ba2a861
Add input details for STAR alignment tool
tojoa10 Mar 19, 2026
7fdeaa6
Add edgeR and DESeq2 inputs
tojoa10 Mar 19, 2026
15819b2
Add Metagenomics section to lab
tojoa10 Mar 19, 2026
725a726
Add assembly + QC
tojoa10 Mar 20, 2026
5d40048
Add binning to metagenomics workflow
tojoa10 Mar 20, 2026
343fb93
Add binning to metagenomics workflow
tojoa10 Mar 20, 2026
90882ef
Add taxonomic classification to metagenomics workflow
tojoa10 Mar 20, 2026
829ebc9
Complete metagenomics workflow with inputs, outputs and tool links
tojoa10 Mar 20, 2026
74f0c0f
Updated RNA-seq section with tool links and inputs.
tojoa10 Mar 26, 2026
135b3ee
Refined RNA-seq workflow and fixed visualization section.
tojoa10 Mar 26, 2026
cd5700c
Refine metagenomics workflow and add inputs
tojoa10 Mar 26, 2026
1a7ef45
Refine microbial workflow and fix tool links
tojoa10 Mar 26, 2026
0501ddf
Add microbial workflow with diversity analysis and tools
tojoa10 Mar 27, 2026
ca42029
added trim galore
tojoa10 Mar 27, 2026
2cff7ff
Added Sortmerna to remove rRNA reads.
tojoa10 Mar 27, 2026
c792cce
Added Samtools Sort
tojoa10 Mar 27, 2026
2ddb087
Added StringTie
tojoa10 Mar 27, 2026
328692b
GBS analysis using ustacks, cstacks, sstacks, tsv2bam, gstacks, and p…
tojoa10 Mar 27, 2026
8d53eb1
Added tutorial section for RNASeq with transcriptomics GTN link.
tojoa10 Mar 27, 2026
ba69e09
Improved RNASeq tools section with inline descriptions
tojoa10 Apr 10, 2026
c9d7481
Improved Metagenomics tools section with inline description
tojoa10 Apr 10, 2026
f60f61b
Add GBS section with STACKS workflow, inputs/outputs, and tutorials
tojoa10 Apr 17, 2026
d7877ad
updated intro.md
tojoa10 Apr 17, 2026
5a37b9a
Added Learn Galaxy section with training resources and tutorials
tojoa10 Apr 17, 2026
2c90d23
Updated microbial tutorial descriptions
tojoa10 Apr 17, 2026
0e46bdf
Updated RNA-seq tutorials description
tojoa10 Apr 17, 2026
7068b5c
Improved metagenomics tutorials description
tojoa10 Apr 17, 2026
6a8b86f
Add Bakta to metagenomics tools
tojoa10 Apr 17, 2026
acc95de
Add MAFFT, BLAST, and FastTree tools to microbial section
tojoa10 Apr 17, 2026
c3d7f8a
updated base.yml
tojoa10 Apr 17, 2026
4d3cd2e
Add RNASeq overview, outputs, and file descriptions
tojoa10 Apr 24, 2026
d237038
Add Metagenomics overview and structured output tables
tojoa10 Apr 24, 2026
2d05417
Added GBS (ddRADSeq) overview section with workflow description and o…
tojoa10 Apr 24, 2026
3ec900a
Refined RNA-seq overview formatting and consistency
tojoa10 Apr 24, 2026
d782397
Update GBS section with tools, outputs, and bcftools filtering
tojoa10 Apr 24, 2026
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5 changes: 5 additions & 0 deletions .gitignore
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python-3.14.3-amd64 (1).exe
venv
venv311
.DS_Stores
agrf/base.yml
Empty file added agrf/old_base.yml
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153 changes: 153 additions & 0 deletions agrf/sections/gbs.yml
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id: gbs
title: GBS

tabs:
- id: overview
title: Overview
content:
- title_md: About the service
description_md: |
Genotyping-by-sequencing (GBS/ddRADSeq) is used to identify genetic variants across multiple samples for population genetics studies.

AGRF performs primary GBS analysis using NGSEP due to its efficiency for large sample sets. The outputs typically include variant call files (VCF) and consensus sequences (FASTA).

This Galaxy section supports downstream analysis of these outputs. Users can import VCF files into Galaxy and perform variant filtering, population genetic analysis, and visualisation using tools such as VCFtools and PLINK.
- title_md: Results include
description_md: |
**Raw read data** - Demultiplexed sequencing reads in FASTQ format

**Variant calls** - VCF files containing SNP and genotype information

**Consensus sequences** - FASTA files containing consensus sequences

**Filtered variant outputs** - VCF files filtered by missingness, minor allele frequency, or other criteria

**PLINK outputs** - Files prepared for downstream population genetic analysis

**Distance and visualisation outputs** - IBS distance matrix and heatmap-style outputs for sample comparison

- title_md: What files are included?
description_md: |
| **Filename** | **Description** |
|-------------|----------------|
| Demultiplexed *.FASTQ files | Raw sequencing reads for each sample |
| variants.vcf | Variant calls containing SNP and genotype information |
| consensus_sequences.fasta | Consensus sequences generated from variant/locus analysis |
| filtered_high_level.vcf | VCF filtered using stricter missingness and MAF thresholds |
| filtered_low_level.vcf | VCF filtered using less stringent missingness and MAF thresholds |
| populations.plink.* | PLINK-format files generated from VCF data |
| ibs_distance_matrix.tsv | Identity-by-state distance matrix for sample comparison |
| heatmap_output.html / .png | Visualisation output showing sample relatedness or clustering |

- title_md: File formats used
description_md: |
| **Type** | **Description** |
|---------|----------------|
| .fastq | Raw sequencing reads |
| .vcf | Variant call format containing SNP and genotype data |
| .fasta / .fa | Consensus sequences or assembled loci |
| .ped / .map | PLINK genotype input files |
| .tsv / .txt | Tabular outputs, filtering summaries, or distance matrices |
| .html / .png | Visualisation outputs such as heatmaps |

- id: tools
title: Tools
content:
subsections:
- id: stacks
title: STACKS workflow
content:

- title_md: <code>ustacks</code> - Build loci for each sample
description_md: |
Build loci from sequencing reads for each sample.
inputs:
- label: Sequencing reads (FASTQ)
datatypes:
- fastqsanger
outputs:
- label: Sample loci
button_md: Run ustacks
button_link: "{{ galaxy_base_url }}/?tool_id=toolshed.g2.bx.psu.edu%2Frepos%2Fiuc%2Fstacks_ustacks%2Fstacks_ustacks"

- title_md: <code>cstacks</code> - Create catalog of loci
description_md: |
Create a catalog of loci across multiple samples.
inputs:
- label: Loci from multiple samples
datatypes:
- tabular
outputs:
- label: Catalog of loci
button_md: Run cstacks
button_link: "{{ galaxy_base_url }}/?tool_id=toolshed.g2.bx.psu.edu%2Frepos%2Fiuc%2Fstacks_cstacks%2Fstacks_cstacks"

- title_md: <code>sstacks</code> - Match samples to catalog
description_md: |
Match each sample to the catalog of loci.
inputs:
- label: Sample loci
datatypes:
- tabular
- label: Catalog of loci
datatypes:
- tabular
outputs:
- label: Matches to catalog
button_md: Run sstacks
button_link: "{{ galaxy_base_url }}/?tool_id=toolshed.g2.bx.psu.edu%2Frepos%2Fiuc%2Fstacks2_sstacks%2Fstacks2_sstacks"

- title_md: <code>tsv2bam</code> - Convert TSV to BAM
description_md: |
Convert TSV genotype data into BAM format for downstream analysis.
inputs:
- label: Loci and polymorphism
datatypes:
- tabular
- label: Catalog of loci
datatypes:
- tabular
- label: Matches to catalog
datatypes:
- tabular
outputs:
- label: BAM alignments
button_md: Run tsv2bam
button_link: "{{ galaxy_base_url }}/?tool_id=toolshed.g2.bx.psu.edu%2Frepos%2Fiuc%2Fstacks2_tsv2bam%2Fstacks2_tsv2bam"

- title_md: <code>gstacks</code> - Assemble loci and call variants
description_md: |
Assemble loci, align reads, and perform variant calling.
inputs:
- label: BAM alignments
datatypes:
- bam
outputs:
- label: Variant calls and assembled loci
button_md: Run gstacks
button_link: "{{ galaxy_base_url }}/?tool_id=toolshed.g2.bx.psu.edu%2Frepos%2Fiuc%2Fstacks2_gstacks%2Fstacks2_gstacks"

- title_md: <code>populations</code> - Population genetics analysis
description_md: |
Generate population-level statistics and export results for downstream analysis.
inputs:
- label: Variant calls / loci
datatypes:
- vcf
outputs:
- label: Population statistics and export files
button_md: Run populations
button_link: "{{ galaxy_base_url }}/?tool_id=toolshed.g2.bx.psu.edu%2Frepos%2Fiuc%2Fstacks2_populations%2Fstacks2_populations"

- title_md: <code>bcftools filter</code> - Filter variant data
description_md: Filter variant call files (VCF) based on minor allele frequency (MAF), missing data thresholds, and quality metrics for downstream population analysis.
button_md: Launch Tool
button_link: "{{ galaxy_base_url }}/?tool_id=toolshed.g2.bx.psu.edu%2Frepos%2Fiuc%2Fbcftools_filter%2Fbcftools_filter"

- id: tutorials
title: Tutorials
content:
- title_md: GBS analysis tutorials
description_md: Explore Galaxy Training Network tutorials for variant analysis workflows relevant to GBS and population genomics studies.
button_md: Tutorials
button_link: https://training.galaxyproject.org/training-material/topics/variant-analysis/
56 changes: 50 additions & 6 deletions agrf/sections/learn.yml
Original file line number Diff line number Diff line change
@@ -1,14 +1,58 @@
id: learn
title: Learn Galaxy

tabs:
- id: overview
title: Overview
heading_md:
heading_md:
Learn how to use Galaxy through tutorials, workflows, and official documentation.
content:
- title_md: abc
- title_md: Galaxy Training Resources
description_md: |
Learn how to use Galaxy through step-by-step tutorials from the Galaxy Training Network.
These resources cover a wide range of bioinformatics workflows including RNA-seq,
microbiome analysis, metagenomics, and variant analysis.
button_md: Browse Tutorials
button_link: https://training.galaxyproject.org/training-material/

- title_md: Variant Analysis Tutorials
description_md: |
Explore tutorials for SNP calling, variant analysis, and related workflows
relevant to GBS and population genomics studies.
button_md: View Tutorials
button_link: https://training.galaxyproject.org/training-material/topics/variant-analysis/

- title_md: Microbiome Tutorials
description_md: |
Learn microbial community analysis workflows in Galaxy, including QIIME 2 based
approaches for diversity analysis and taxonomic profiling.
button_md: View Tutorials
button_link: https://training.galaxyproject.org/training-material/topics/microbiome/

- title_md: RNA-seq Tutorials
description_md: |
Learn RNA-seq analysis workflows in Galaxy, including alignment, quantification,
and differential expression analysis.
button_md: View Tutorials
button_link: https://training.galaxyproject.org/training-material/topics/transcriptomics/

- title_md: Metagenomics Tutorials
description_md: |
* abc
Explore tutorials for metagenome assembly, classification, and downstream
analysis workflows in Galaxy.
button_md: View Tutorials
button_link: https://training.galaxyproject.org/training-material/topics/metagenomics/


button_md: Upload data
button_link: "{{ galaxy_base_url }}/tool_runner?tool_id=upload1"
- title_md: GBS and Population Genomics Tutorials
description_md: |
Learn workflows relevant to Genotyping-by-Sequencing (GBS), including variant calling,
SNP analysis, and population genomics approaches in Galaxy.
button_md: View Tutorials
button_link: https://training.galaxyproject.org/training-material/topics/variant-analysis/

- title_md: Galaxy Help and Documentation
description_md: |
Access official Galaxy documentation, user guides, and help resources to understand
tools, workflows, and data management in Galaxy.
button_md: Open Documentation
button_link: https://galaxyproject.org/learn/
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