AskoR, A R Package for Easy RNASeq Data Analysis

F. Legeai, Susete Alves‐Carvalho, Kévin Gazengel, A. Bretaudeau, S. Robin, S. Daval
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引用次数: 3

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).
一个简单的RNASeq数据分析的R包
为了方便转录组学数据的处理,并保证我们分析的可重复性,我们开发了AskoR,这是一个R库,用于对测序(RNA-Seq)获得的基因表达数据进行一套统计分析和图形输出。从原始计数中,它可以过滤和规范化数据,检查样本的一致性,并进行差异表达测试,GO术语富集和共表达簇,输出中有大量的数字。AskoR可以下载并在您最喜欢的R环境中使用,也可以直接通过由农业生态系统节肢动物生物信息平台(BIPAA)托管的Galaxy门户网站访问。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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