A statistical framework for detecting mislabeled and contaminated samples using shallow-depth sequence data

A statistical framework for detecting mislabeled and contaminated samples using shallow-depth sequence data

Abstract Background Researchers typically sequence a given individual multiple times, either re-sequencing the same DNA sample (technical replication) or sequencing different DNA samples collected on the same individual (biological replication) or both. Before merging the data from these replicate s...

Full description

Bibliographic Details
Main Authors: Ariel W. Chan, Amy L. Williams, Jean-Luc Jannink
Format: Article
Language:English
Published: BMC 2018-12-01
Series:BMC Bioinformatics
Subjects:
Error detection
Biological replication
Technical replication
Shallow-depth sequence data
Mislabeled samples
Online Access:http://link.springer.com/article/10.1186/s12859-018-2512-8

Internet

http://link.springer.com/article/10.1186/s12859-018-2512-8

Similar Items