Workflows
What is a Workflow?Filters
Identify upregulated miRNAS and analyze potential targets in downregulated genes.
Associated Tutorial
This workflows is part of the tutorial Whole transcriptome analysis of Arabidopsis thaliana, available in the GTN
Thanks to...
Tutorial Author(s): Cristóbal Gallardo, ...
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
Thanks to...
Workflow Author(s): Bérénice Batut, ...
Associated Tutorial
This workflows is part of the tutorial RNA-Seq data analysis, clustering and visualisation tutorial, available in the GTN
Thanks to...
Tutorial Author(s): Peter-Bram 't Hoen, [Casper de ...
De novo transcriptome reconstruction with RNA-Seq
Associated Tutorial
This workflows is part of the tutorial De novo transcriptome reconstruction with RNA-Seq, available in the GTN
Thanks to...
Tutorial Author(s): Mallory Freeberg, [Mo ...
Network analysis with Heinz
Associated Tutorial
This workflows is part of the tutorial Network analysis with Heinz, available in the GTN
Thanks to...
Tutorial Author(s): Chao Zhang
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Tests This workflow can only work on an experimental setup with exactly 2 conditions. It takes two collections of count tables as input and performs differential expression analysis. Additionally it filters for DE genes based on adjusted p-value and log2 fold changes thresholds. It also generates informative plots.
RNAseq workflow UMG: Here we introduce a scientific workflow implementing several open-source software executed by Galaxy parallel scripting language in an high-performance computing environment. We have applied the workflow to a single-cardiomyocyte RNA-seq data retrieved from Gene Expression Omnibus database. The workflow allows for the analysis (alignment, QC, sort and count reads, statistics generation) of raw RNA-seq data and seamless integration of differential expression results into a ...
Objective. Biomarkers have become important for the prognosis and diagnosis of various diseases. High-throughput methods such as RNA-sequencing facilitate the detection of differentially expressed genes (DEGs), hence potential biomarker candidates. Individual studies suggest long lists of DEGs, hampering the identification of clinically relevant ones. Concerning preeclampsia, a major obstetric burden with high risk for adverse maternal and/or neonatal outcomes, limitations in diagnosis and ...
