Predicting functional alternative splicing by measuring RNA selection pressure from multigenome alignments.
High-throughput methods such as EST sequencing, microarrays and deep sequencing have identified large numbers of alternative splicing (AS) events, but studies have shown that only a subset of these may be functional. Here we report a sensitive bioinformatics approach that identifies exons with evide...
Main Authors: | Hongchao Lu, Lan Lin, Seiko Sato, Yi Xing, Christopher J Lee |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2009-12-01
|
Series: | PLoS Computational Biology |
Online Access: | http://europepmc.org/articles/PMC2784930?pdf=render |
Similar Items
-
Similarity Network Fusion Based on Random Walk and Relative Entropy for Cancer Subtype Prediction of Multigenomic Data
by: Jian Liu, et al.
Published: (2021-01-01) -
Functional Multigenomic Screening of Human-Associated Bacteria for NF-κB-Inducing Bioactive Effectors
by: Andreia B. Estrela, et al.
Published: (2019-11-01) -
ASGAL: aligning RNA-Seq data to a splicing graph to detect novel alternative splicing events
by: Luca Denti, et al.
Published: (2018-11-01) -
Strategies for identifying RNA splicing regulatory motifs and predicting alternative splicing events.
by: Dirk Holste, et al.
Published: (2008-01-01) -
Protein modularity of alternatively spliced exons is associated with tissue-specific regulation of alternative splicing.
by: Yi Xing, et al.
Published: (2005-09-01)