MapSplice: Accurate mapping of RNA-seq reads for splice junction discovery
University of Kentucky · University of North Carolina at Chapel Hill
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Abstract
The accurate mapping of reads that span splice junctions is a critical component of all analytic techniques that work with RNA-seq data. We introduce a second generation splice detection algorithm, MapSplice, whose focus is high sensitivity and specificity in the detection of splices as well as CPU and memory efficiency. MapSplice can be applied to both short (
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14Topics & keywords
Topics
Keywords
- splice
- Biology
- RNA splicing
- Computational biology
- Intron
- RNA
- Set (abstract data type)
- Sensitivity (control systems)
UN Sustainable Development Goals
- Good health and well-being
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