EventsThe 1st International Electronic Conference on Entomology
Published
This submission belongs to the session G. Genetics and Genomics of the event The 1st International Electronic Conference on Entomology
Published date
09 Jul, 2021
Academic Editor
author-avatarErin Scully
Citation
Susete Alves-Carvalho, Kévin Gazengel, Stéphanie Robin, Stéphanie Daval, Anthony Bretaudeau, Fabrice Legeai, AskoR, A R Package for Easy RNASeq Data Analysis, in Proceedings of The 1st International Electronic Conference on Entomology, 1 July–15 July 2021, MDPI: Basel, Switzerland, doi: 10.3390/IECE-10646
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AskoR, A R Package for Easy RNASeq Data Analysis

Susete Alves-Carvalho 1
Kévin Gazengel 2
Anthony Bretaudeau 2
image
1. IGEPP, INRAE, Institut Agro, Univ Rennes, 35653, Le Rheu, France, China
2. IGEPP, INRAE, Institut Agro, Univ Rennes, 35653, Le Rheu, France
Abstract

For facilitating the process of transcriptomics data, and to guarantee the reproducibility of
our analyses, we developed AskoR, which is a R library for performing a suite of statistical analysis and graphical output from gene expression data obtained by sequencing (RNA-Seq). From raw counts, it makes it possible to filter and normalize the data, to check the consistency of the samples, and to carry out differential expression tests, GO terms enrichments, and clusters of co-expression, with a large number of figures in the output. AskoR can be downloaded and used in your favorite R environment or directly accessible through a Galaxy portal like the one which is hosted by the BioInformatics Platform for the Agroecosystems Arthropods (BIPAA).

Keywords
BioInformatics Platform for Agroecosystems Arthropods
RNA-Seq
differential expression
clustering
Gene Ontology enrichment
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