HBA-DEALS: accurate and simultaneous identification of differential expression and splicing using hierarchical Bayesian analysis.

Authors

Guy Karlebach, The Jackson LaboratoryFollow
Peter Hansen, The Jackson LaboratoryFollow
Diogo FT Veiga, The Jackson LaboratoryFollow
Robin Steinhaus
Daniel Danis, The Jackson LaboratoryFollow
Sheng Li, The Jackson LaboratoryFollow
Olga Anczuków, The Jackson LaboratoryFollow
Peter N Robinson, The Jackson LaboratoryFollow

Document Type

Article

Publication Date

7-13-2020

Keywords

JGM, JAXCC

JAX Source

Genome Biol 2020 Jul 13; 21(1):171

Volume

21

Issue

1

First Page

171

Last Page

171

ISSN

1474-760X

PMID

32660516

DOI

https://doi.org/10.1186/s13059-020-02072-6

Grant

Donald A. Roux Family Fund

Abstract

We present Hierarchical Bayesian Analysis of Differential Expression and ALternative Splicing (HBA-DEALS), which simultaneously characterizes differential expression and splicing in cohorts. HBA-DEALS attains state of the art or better performance for both expression and splicing and allows genes to be characterized as having differential gene expression, differential alternative splicing, both, or neither. HBA-DEALS analysis of GTEx data demonstrated sets of genes that show predominant DGE or DAST across multiple tissue types. These sets have pervasive differences with respect to gene structure, function, membership in protein complexes, and promoter architecture.

Comments

This article is licensed under a Creative Commons Attribution 4.0 International License.

Recommended Citation

Karlebach G, Hansen P, Veiga D, Steinhaus R, Danis D, Li S, Anczuków O, Robinson P. HBA-DEALS: accurate and simultaneous identification of differential expression and splicing using hierarchical Bayesian analysis. Genome Biol 2020 Jul 13; 21(1):171