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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,...
Autores principales: | Kim, Pora, Jang, Ye Eun, Lee, Sanghyuk |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korea Genome Organization
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6808644/ https://www.ncbi.nlm.nih.gov/pubmed/31610622 http://dx.doi.org/10.5808/GI.2019.17.3.e26 |
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