Ontology highlight
ABSTRACT: Motivation
Next-generation sequencing (NGS) has revolutionized the study of cancer genomes. However, the reads obtained from NGS of tumor samples often consist of a mixture of normal and tumor cells, which themselves can be of multiple clonal types. A prominent problem in the analysis of cancer genome sequencing data is deconvolving the mixture to identify the reads associated with tumor cells or a particular subclone of tumor cells. Solving the problem is, however, challenging because of the so-called 'identifiability problem', where different combinations of tumor purity and ploidy often explain the sequencing data equally well.Results
We propose a new model to resolve the identifiability problem by integrating two types of sequencing information-somatic copy number alter
SUBMITTER: Li Y
PROVIDER: S-EPMC4103592 | biostudies-literature | 2014 Aug
REPOSITORIES: biostudies-literature