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Integrated transcriptomic-genomic tool Texomer profiles cancer tissues.

Wang, Fang; Zhang, Shaojun; Kim, Tae-Beom; Lin, Yu-Yu; Iqbal, Ramiz; Wang, Zixing; Mohanty, Vakul; Sircar, Kanishka; Karam, Jose A; Wendl, Michael C; Meric-Bernstam, Funda; Weinstein, John N; Ding, Li; Mills, Gordon B; Chen, Ken.
Nat Methods; 16(5): 401-404, 2019 05.
Artigo em Inglês | MEDLINE | ID: mdl-30988467
Profiling of both the genome and the transcriptome promises a comprehensive, functional readout of a tissue sample, yet analytical approaches are required to translate the increased data dimensionality, heterogeneity and complexity into patient benefits. We developed a statistical approach called Texomer ( https://github.com/KChen-lab/Texomer ) that performs allele-specific, tumor-deconvoluted transcriptome-exome integration of autologous bulk whole-exome and transcriptome sequencing data. Texomer results in substantially improved accuracy in sample categorization and functional variant prioritization.
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