flexiMAP: a regression-based method for discovering differential alternative polyadenylation events in standard RNA-seq data | Zendy

Krzysztof J. Szkop | Zendy; David S. Moss | Zendy; Irene Nobeli | Zendy

Open Access

flexiMAP: a regression-based method for discovering differential alternative polyadenylation events in standard RNA-seq data

Author(s) -

Krzysztof J. Szkop,

David S. Moss,

Irene Nobeli

Publication year - 2020

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btaa854

Subject(s) - polyadenylation , computer science , covariate , data mining , regression , rna seq , r package , sensitivity (control systems) , machine learning , rna , statistics , mathematics , transcriptome , biology , programming language , biochemistry , gene expression , electronic engineering , gene , engineering

We present flexible Modeling of Alternative PolyAdenylation (flexiMAP), a new beta-regression-based method implemented in R, for discovering differential alternative polyadenylation events in standard RNA-seq data.

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