Deconvolution and phylogeny inference of structural variations in tumor genomic samples
نویسندگان
چکیده
منابع مشابه
Clonality inference in multiple tumor samples using phylogeny
MOTIVATION Intra-tumor heterogeneity presents itself through the evolution of subclones during cancer progression. Although recent research suggests that this heterogeneity has clinical implications, in silico determination of the clonal subpopulations remains a challenge. RESULTS We address this problem through a novel combinatorial method, named clonality inference in tumors using phylogeny...
متن کاملGenome analysis Clonality inference in multiple tumor samples using phylogeny
Motivation: Intra-tumor heterogeneity presents itself through the evolution of subclones during cancer progression. Although recent research suggests that this heterogeneity has clinical implications, in silico determination of the clonal subpopulations remains a challenge. Results: We address this problem through a novel combinatorial method, named clonality inference in tumors using phylogeny...
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An important challenge in cancer genomics is precise detection of structural variations (SVs) by high-throughput short-read sequencing, which is hampered by the high false discovery rates of existing analysis tools. Here, we propose an accurate SV detection method named COSMOS, which compares the statistics of the mapped read pairs in tumor samples with isogenic normal control samples in a dist...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2018
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/bty270