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Bias from removing read duplication in ultra-deep sequencing experiments
Author(s) -
Wanding Zhou,
Tenghui Chen,
Hao Zhao,
Agda Karina Eterovic,
Funda MericBernstam,
Gordon B. Mills,
Ken Chen
Publication year - 2014
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btt771
Subject(s) - computer science , gene duplication , artificial intelligence , genetics , biology , gene
Identifying subclonal mutations and their implications requires accurate estimation of mutant allele fractions from possibly duplicated sequencing reads. Removing duplicate reads assumes that polymerase chain reaction amplification from library constructions is the primary source. The alternative-sampling coincidence from DNA fragmentation-has not been systematically investigated.

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