FusionScan: accurate prediction of fusion genes from RNA-Seq data
Identification of fusion gene is of prominent importance in cancer research field because of their potential as carcinogenic drivers. RNA sequencing (RNA-Seq) data have been the most useful source for identification of fusion transcripts. Although a number of algorithms have been developed thus far,...
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Main Authors: | Pora Kim, Ye Eun Jang, Sanghyuk Lee |
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Format: | Article |
Language: | English |
Published: |
BioMed Central
2019-07-01
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Series: | Genomics & Informatics |
Subjects: | |
Online Access: | http://genominfo.org/upload/pdf/gi-2019-17-3-e26.pdf |
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