期刊
MOLECULAR BIOLOGY AND EVOLUTION
卷 25, 期 1, 页码 199-206出版社
OXFORD UNIV PRESS
DOI: 10.1093/molbev/msm239
关键词
sequencing error; population genetics; bias; quality score
资金
- NIGMS NIH HHS [R01-GM40282] Funding Source: Medline
- NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES [R01GM040282] Funding Source: NIH RePORTER
Sequencing error presents a significant challenge to population genetic analyses using low-coverage sequence in general and single-pass reads in particular. Bias in parameter estimates becomes severe when the level of polymorphism (signal) is low relative to the amount of error (noise). Choosing an arbitrary quality score cutoff yields biased estimates, particularly with newer, non-Sanger sequencing technologies that have different quality score distributions. We propose a rule of thumb to judge when a given threshold will lead to significant bias and suggest alternative approaches that reduce bias.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据