SCISSOR: a framework for identifying structural changes in RNA transcripts
Many computational tools identify mRNA variations by analyzing the transformed RNA-seq data such as collapsed reads. Here, the authors report a computational method which uses shape changes in the RNA-seq coverage profile to discover changes in mRNA expression and alternative splicing.
Main Authors: | Hyo Young Choi, Heejoon Jo, Xiaobei Zhao, Katherine A. Hoadley, Scott Newman, Jeremiah Holt, Michele C. Hayward, Michael I. Love, J. S. Marron, D. Neil Hayes |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2021-01-01
|
Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-020-20593-3 |
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