Curare and GenExVis: a versatile toolkit for analyzing and visualizing RNA-Seq data

dc.contributor.authorBlumenkamp, Patrick
dc.contributor.authorPfister, Max
dc.contributor.authorDiedrich, Sonja
dc.contributor.authorBrinkrolf, Karina
dc.contributor.authorJaenicke, Sebastian
dc.contributor.authorGoesmann, Alexander
dc.date.accessioned2024-11-14T13:48:53Z
dc.date.available2024-11-14T13:48:53Z
dc.date.issued2024
dc.description.abstractEven though high-throughput transcriptome sequencing is routinely performed in many laboratories, computational analysis of such data remains a cumbersome process often executed manually, hence error-prone and lacking reproducibility. For corresponding data processing, we introduce Curare, an easy-to-use yet versatile workflow builder for analyzing high-throughput RNA-Seq data focusing on differential gene expression experiments. Data analysis with Curare is customizable and subdivided into preprocessing, quality control, mapping, and downstream analysis stages, providing multiple options for each step while ensuring the reproducibility of the workflow. For a fast and straightforward exploration and visualization of differential gene expression results, we provide the gene expression visualizer software GenExVis. GenExVis can create various charts and tables from simple gene expression tables and DESeq2 results without the requirement to upload data or install software packages. In combination, Curare and GenExVis provide a comprehensive software environment that supports the entire data analysis process, from the initial handling of raw RNA-Seq data to the final DGE analyses and result visualizations, thereby significantly easing data processing and subsequent interpretation.en
dc.description.sponsorshipDeutsche Forschungsgemeinschaft (DFG); ROR-ID:018mejw64
dc.identifier.urihttps://jlupub.ub.uni-giessen.de/handle/jlupub/19794
dc.identifier.urihttps://doi.org/10.22029/jlupub-19151
dc.language.isoen
dc.rightsNamensnennung 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddcddc:570
dc.titleCurare and GenExVis: a versatile toolkit for analyzing and visualizing RNA-Seq data
dc.typearticle
local.affiliationFB 08 - Biologie und Chemie
local.projectRU 5116; project number 433194101
local.source.articlenumber138
local.source.epage12
local.source.journaltitleBMC bioinformatics
local.source.spage1
local.source.urihttps://doi.org/10.1186/s12859-024-05761-2
local.source.volume25

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