CoSpliceNet: a framework for co-splicing network inference from transcriptomics data.

ABSTRACT:

Background

Alternative splicing has been proposed to increase transcript diversity and protein plasticity in eukaryotic organisms, but the extent to which this is the case is currently unclear, especially with regard to the diversification of molecular function. Eukaryotic splicing involves complex interactions of splicing factors and their targets. Inference of co-splicing networks capturing these types of interactions is important for understanding this crucial, highly regulated post-transcriptional process at the systems level.

Results

First, several transcript and protein attributes, including coding potential of transcripts and differences in functional domains of proteins, were compared between splice variants and protein isoforms to assess transcript and protein diver

SUBMITTER: Aghamirzaie D 

PROVIDER: S-EPMC5086072 | biostudies-literature | 2016 Oct

REPOSITORIES: biostudies-literature