CICERO: a versatile method for detecting complex and diverse driver fusions using cancer RNA sequencing data

To discover driver fusions beyond canonical exon-to-exon chimeric transcripts, we develop CICERO, a local assembly-based algorithm that integrates RNA-seq read support with extensive annotation for candidate ranking. CICERO outperforms commonly used methods, achieving a 95% detection rate for 184 in...

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Detalles Bibliográficos
Autores principales: Tian, Liqing, Li, Yongjin, Edmonson, Michael N., Zhou, Xin, Newman, Scott, McLeod, Clay, Thrasher, Andrew, Liu, Yu, Tang, Bo, Rusch, Michael C., Easton, John, Ma, Jing, Davis, Eric, Trull, Austyn, Michael, J. Robert, Szlachta, Karol, Mullighan, Charles, Baker, Suzanne J., Downing, James R., Ellison, David W., Zhang, Jinghui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7325161/
https://www.ncbi.nlm.nih.gov/pubmed/32466770
http://dx.doi.org/10.1186/s13059-020-02043-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7325161/
https://www.ncbi.nlm.nih.gov/pubmed/32466770
http://dx.doi.org/10.1186/s13059-020-02043-x

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