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

Szkop, Krzysztof J. and Moss, David S. and Nobeli, Irene (2021) flexiMAP: a regression-based method for discovering differential alternative polyadenylation events in standard RNA-seq data. Bioinformatics 37 (10), pp. 1461-1464. ISSN 1367-4803.

Abstract

Motivation: We present flexible Modeling of Alternative PolyAdenylation (flexiMAP), a newbeta-regression-based method implemented in R, for discovering differential alternative polyadenylation events in standard RNA-seq data. Results: We show, using both simulated and real data, that flexiMAP exhibits a good balance between specificity and sensitivity and compares favourably to existing methods, especially at low fold changes. In addition, the tests on simulated data reveal some hitherto unrecognized caveats of existing methods. Importantly, flexiMAP allows modeling of multiple known covariates that often confound the results of RNA-seq data analysis. Availability and implementation: The flexiMAPR package is available at:https://github.com/kszkop/flexiMAP. Scripts and data to reproduce the analysis in this paper are available at: https://doi.org/10.5281/zenodo.3689788.

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