Workflows
What is a Workflow?Filters
Binning workflows that uses abundance information and performs binning of metagenomic contigs using 4 different binners as well as bin refinement.
Associated Tutorial
This workflows is part of the tutorial Binning of metagenomic sequencing data, available in the GTN
Features
- Includes [Galaxy Workflow ...
This workflow takes Nanopore fastq(.gz) files and runs Minimap2 to map the reads against a reference genome (human, by default). It filters the output to keep only the unmapped reads and generates mapping statistics that are aggregated into a MultiQC report.
This workflow takes paired-end Illumina fastq(.gz) files and runs Bowtie to map the reads against a reference genome (human, by default) and keep only the reads that do not align. MultiQC is used to aggregate the mapping reports.
This workflow performs quality control and trimming on paired-end Illumina fastq(.gz) files using fastp and aggregates the quality control reports with MultiQC
Associated Tutorial
This workflows is part of the tutorial Visualization of RNA-Seq results with heatmap2, available in the GTN
Features
- Includes Galaxy Workflow Tests
- Includes a [Galaxy Workflow ...
Metagenomic analysis, from raw reads to gene catalog. Uses Megahit to assemble contigs and Prodgial to predict CDSs on contigs to provide the gene catalog. Finally, functional, taxonomic, and antimicrobial resistance information is provided.
Anesthesia and Neurocritical Care Medicine
scRNAvigator: Interactive exploration, processing, and analysis of your scRNA-seq data
This collection of R notebooks has been designed to guide you through processing and analysing your single cell RNA (scRNA) sequencing data. They are designed to be worked through in the following order:
- Quality control
- Doublet detection
- Dataset integration
- Cell annotation
- Pseudobulking and differential gene expression analysis
- Pathway enrichment analyses.
Each notebook explains what is ...
Type: Quarto Markdown
Creators: Michael Geaghan, Frederick Jaya, Mitchell J O'Brien, Georgina Samaha, We thank Martyn Bullock and Sumathy Perampalam for their testing support, feedback, and providing data used in developing this workflow
Submitter: Frederick Jaya
Learning Objectives
- How to build complex queries using the IDR searcher to retrieve data from the Image Data Resource (IDR)
- How to load binary data from IDR using its Python API
Launch
This notebook can be launched using Google Colab.
Reference-based RNA-Seq data analysis
Associated Tutorial
This workflows is part of the tutorial Reference-based RNA-Seq data analysis, available in the GTN
Features
- Includes Galaxy Workflow Tests
- Includes a [Galaxy Workflow ...
Tests