Wang F and Chen K et al. (2019) MD Anderson Cancer Research Center.
Wang F, Zhang S, Kim TB, Lin YY, Iqbal R, Wang Z, Mohanty V, Sircar K, Karam JA, Wendl MC, Meric-Bernstam F, Weinstein JN, Ding L, Mills GB, Chen K.
Nature Methods
May 01, 2019
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.