FusionScan: accurate prediction of fusion genes from RNA-Seq data

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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Bibliografische gegevens
Hoofdauteurs: Pora Kim, Ye Eun Jang, Sanghyuk Lee
Formaat: Artikel
Taal:English
Gepubliceerd in: BioMed Central 2019-07-01
Reeks:Genomics & Informatics
Onderwerpen:
chromosomal translocation
fusion transcript
gene fusion
RNA-Seq
transcriptome sequencing
Online toegang:http://genominfo.org/upload/pdf/gi-2019-17-3-e26.pdf

Internet

http://genominfo.org/upload/pdf/gi-2019-17-3-e26.pdf

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