Abstract：
:Alternative splicing (AS) is a widespread process underlying the generation of transcriptomic and proteomic diversity and is frequently misregulated in human disease. Accordingly, an important goal of biomedical research is the development of tools capable of comprehensively, accurately, and efficiently profiling AS. Here, we describe Whippet, an easy-to-use RNA-seq analysis method that rapidly-with hardware requirements compatible with a laptop-models and quantifies AS events of any complexity without loss of accuracy. Using an entropic measure of splicing complexity, Whippet reveals that one-third of human protein coding genes produce transcripts with complex AS events involving co-expression of two or more principal splice isoforms. We observe that high-entropy AS events are more prevalent in tumor relative to matched normal tissues and correlate with increased expression of proto-oncogenic splicing factors. Whippet thus affords the rapid and accurate analysis of AS events of any complexity, and as such will facilitate future biomedical research.
journal_name
Mol Celljournal_title
Molecular cellauthors
Sterne-Weiler T,Weatheritt RJ,Best AJ,Ha KCH,Blencowe BJdoi
10.1016/j.molcel.2018.08.018subject
Has Abstractpub_date
2018-10-04 00:00:00pages
187-200.e6issue
1eissn
1097-2765issn
1097-4164pii
S1097-2765(18)30678-6journal_volume
72pub_type
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