Designing alternative splicing RNA-seq studies. Beyond generic guidelines | Zendy

Camille StephanOtto Attolini | Zendy; Víctor Peña | Zendy; David Rossell | Zendy

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Designing alternative splicing RNA-seq studies. Beyond generic guidelines

Author(s) -

Camille StephanOtto Attolini,

Víctor Peña,

David Rossell

Publication year - 2015

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/btv436

Subject(s) - bioconductor , computer science , key (lock) , r package , bayesian probability , rna seq , focus (optics) , data mining , information retrieval , data science , artificial intelligence , biology , programming language , transcriptome , gene expression , gene , biochemistry , physics , computer security , optics

Designing an RNA-seq study depends critically on its specific goals, technology and underlying biology, which renders general guidelines inadequate. We propose a Bayesian framework to customize experiments so that goals can be attained and resources are not wasted, with a focus on alternative splicing.

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