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Computational enhancement of single-cell sequences for inferring tumor evolution

5 Jul 2018

Abstract excerpt

Motivation: Tumor sequencing has entered an exciting phase with the advent of single-cell techniques that are revolutionizing the assessment of single nucleotide variation (SNV) at the highest cellular resolution. However, state-of-the-art single-cell sequencing technologies produce data with many missing bases (MBs) and incorrect base designations that lead to false-positive (FP) and false-negative (FN)...

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PMID: 30423071
DOI: 10.1093/bioinformatics/bty571

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