MultiRNAflow：整合分析具有多种生物学条件的时间 RNA-seq 数据。
MultiRNAflow: integrated analysis of temporal RNA-seq data with multiple biological conditions.
机构信息
University of Lorraine, CNRS, Inria, IECL, F-54000 Nancy, France.
University of Strasbourg, CNRS, UMR-7242 Biotechnology and Cell Signaling, F-67400 Illkirch, France.
出版信息
Bioinformatics. 2024 May 2;40(5). doi: 10.1093/bioinformatics/btae315.
MOTIVATION
The dynamic transcriptional mechanisms that govern eukaryotic cell function can now be analyzed by RNA sequencing. However, the packages currently available for the analysis of raw sequencing data do not provide automatic analysis of complex experimental designs with multiple biological conditions and multiple analysis time-points.
RESULTS
The MultiRNAflow suite combines several packages in a unified framework allowing exploratory and supervised statistical analyses of temporal data for multiple biological conditions.
AVAILABILITY AND IMPLEMENTATION
The R package MultiRNAflow is freely available on Bioconductor (https://bioconductor.org/packages/MultiRNAflow/), and the latest version of the source code is available on a GitHub repository (https://github.com/loubator/MultiRNAflow).
动机
现在可以通过 RNA 测序来分析控制真核细胞功能的动态转录机制。然而，目前可用于分析原始测序数据的软件包不能自动分析具有多个生物学条件和多个分析时间点的复杂实验设计。
结果
MultiRNAflow 套件将几个软件包结合在一个统一的框架中，允许对多个生物学条件的时间数据进行探索性和监督统计分析。
可用性和实现
R 包 MultiRNAflow 可在 Bioconductor 上免费获得（https://bioconductor.org/packages/MultiRNAflow/），最新版本的源代码可在 GitHub 存储库中获得（https://github.com/loubator/MultiRNAflow）。
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