Prediction and Quantification of Splice Events from RNA-Seq Data.
Analysis of splice variants from short read RNA-seq data remains a challenging problem. Here we present a novel method for the genome-guided prediction and quantification of splice events from RNA-seq data, which enables the analysis of unannotated and complex splice events. Splice junctions and exo...
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| Main Authors: | Leonard D Goldstein, Yi Cao, Gregoire Pau, Michael Lawrence, Thomas D Wu, Somasekar Seshagiri, Robert Gentleman |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2016-01-01
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| Series: | PLoS ONE |
| Online Access: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0156132&type=printable |
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