Human Splicing Finder: an online bioinformatics tool to predict splicing signals
Abstract
Thousands of mutations are identified yearly. Although many directly affect protein expression, an increasing proportion of mutations is now believed to influence mRNA splicing. They mostly affect existing splice sites, but synonymous, non-synonymous or nonsense mutations can also create or disrupt splice sites or auxiliary cis-splicing sequences. To facilitate the analysis of the different mutations, we designed Human Splicing Finder (HSF), a...
Paper Details
Title
Human Splicing Finder: an online bioinformatics tool to predict splicing signals
Published Date
Apr 1, 2009
Journal
Volume
37
Issue
9
Pages
e67 - e67
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