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AskoR, A R Package for Easy RNASeq Data Analysis

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).
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Contributor : Anne-Sophie Grenier Connect in order to contact the contributor
Submitted on : Thursday, June 2, 2022 - 2:03:49 PM
Last modification on : Friday, August 5, 2022 - 2:54:52 PM
Long-term archiving on: : Saturday, September 3, 2022 - 7:16:55 PM


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Susete Alves Carvalho, Kévin Gazengel, Anthony Bretaudeau, Stéphanie Robin, Stéphanie Daval, et al.. AskoR, A R Package for Easy RNASeq Data Analysis. IECE 2021 - 1st International Electronic Conference on Entomology, Jul 2021, Virtual, France. pp.1-8, ⟨10.3390/IECE-10646⟩. ⟨hal-03347665⟩



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