SPLICE-q: a Python tool for genome-wide quantification of splicing efficiency.

ABSTRACT:

Background

Introns are generally removed from primary transcripts to form mature RNA molecules in a post-transcriptional process called splicing. An efficient splicing of primary transcripts is an essential step in gene expression and its misregulation is related to numerous human diseases. Thus, to better understand the dynamics of this process and the perturbations that might be caused by aberrant transcript processing it is important to quantify splicing efficiency.

Results

Here, we introduce SPLICE-q, a fast and user-friendly Python tool for genome-wide SPLICing Efficiency quantification. It supports studies focusing on the implications of splicing efficiency in transcript processing dynamics. SPLICE-q uses aligned reads from strand-specific RNA-seq to quantify splicing

SUBMITTER: de Melo Costa VR 

PROVIDER: S-EPMC8281633 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature