Workflows
What is a Workflow?Filters
Bootstrapping-for-BQSR @ NCI-Gadi is a pipeline for bootstrapping a variant resource to enable GATK base quality score recalibration (BQSR) for non-model organisms that lack a publicly available variant resource. This implementation is optimised for the National Compute Infrastucture's Gadi HPC. Multiple rounds of bootstrapping can be performed. Users can use Fastq-to-bam @ NCI-Gadi and Germline-ShortV @ NCI-Gadi to ...
RNA-SeqEZPZ-NF
Nextflow Pipeline for RNA-SeqEZPZ
A Point-and-Click Pipeline for Comprehensive Transcriptomics Analysis with Interactive Visualizations
RNA-SeqEZPZ-NF is another implementation of RNA-SeqEZPZ. RNA-SeqEZPZ-NF uses the same user interface as RNA-SeqEZPZ and runs the same pipeline, but runs the pipeline implemented by Nextflow. This pipeline is currently tested on HPC cluster with SLURM scheduler. Advanced ...
RNA-SeqEZPZ: A Point-and-Click Pipeline for Comprehensive Transcriptomics Analysis with Interactive Visualizations
RNA-SeqEZPZ is a pipeline to run analysis of RNA-Seq experiments from raw FASTQ files all the way to differential genes analysis. The pipeline is accessible through a graphical user interface implemented using a Shiny app and features interactive plots. Advanced users have the ability to customize the scripts provided with the pipeline. This pipeline is designed to run on an HPC ...
SciWIn Client Demo
A basic Workflow using SciWIn Client (s4n) can be created with the commands hereafter. This guide assumes the usage of unix based operating systems, however Windows should work, too. If not please open an issue.
Installation
Based on the Tail analysis workflow at https://git.embl.org/grp-cba/tail-analysis/-/blob/main/analysis_workflow.md
DUNE: Deep feature extraction by UNet-based Neuroimaging-oriented autoEncoder
A versatile neuroimaging encoder that captures brain complexity across multiple diseases: cancer, dementia and schizophrenia.
Overview
DUNE (Deep feature extraction by UNet-based Neuroimaging-oriented autoEncoder) is a neuroimaging-oriented deep learning model designed to extract deep features from multisequence brain MRIs, enabling their processing by basic machine learning algorithms. This project provides an ...
Metatranscriptomics analysis using microbiome RNA-seq data (short)
Associated Tutorial
This workflows is part of the tutorial Metatranscriptomics analysis using microbiome RNA-seq data (short), available in the GTN
Features
- Includes Galaxy Workflow Tests ...
Code and supporting data for the article: "Exploring the role of normalization and feature selection in microbiome disease classification pipelines."
The repository contains the following folders:
- 1. data: contains OTU/ASV tables and class annotations for the 15 curated datasets considered.
- 2. src: code writen to perform the analyses from the article and the statistical tests
- 3. results: tables containing global nested cross validation results
- 4. figures
License: This
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Galaxy workflow for the reproduction of the results published in: Panchal, Monik, Callison, June, Skukauskas, Vainius, Gianolio, Diego, Cibin, Giannantonio, York, Andrew P E, Schuster, Manfred E, Hyde, Timothy I, Collier, Paul, Catlow, C Richard A, Gibson, Emma K (2021) Operando XAFS investigation on the effect of ash deposition on three-way catalyst used in gasoline particulate filters and the effect of the manufacturing process on the catalytic activity DOI: 10.1088/1361-648x/abfe16.
This ...
Type: Galaxy
Creators: Patrick Austin, Alexander Belozerov, Subindev Devadasan, Leandro Liborio, Abraham Nieva de la Hidalga, Tom Underwood
Submitter: Patrick Austin
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Tests