Accuracy assessment of fusion transcript detection via read-mapping and de novo fusion transcript assembly-based methods
Background: Accurate fusion transcript detection is essential for comprehensive characterization of cancer transcriptomes. Over the last decade, multiple bioinformatic tools have been developed to predict fusions from RNA-seq, based on either read mapping or de novo fusion transcript assembly. Resul...
Main Author: | Regev, Aviv (Author) |
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Other Authors: | Massachusetts Institute of Technology. Department of Biology (Contributor), Koch Institute for Integrative Cancer Research at MIT (Contributor) |
Format: | Article |
Language: | English |
Published: |
Springer Science and Business Media LLC,
2020-04-30T17:31:22Z.
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Subjects: | |
Online Access: | Get fulltext |
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