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

Published Online: 2018-12-12

Published Print: 2018-12

Authors

Chan, Ariel W. http://orcid.org/0000-0001-9668-6526
Williams, Amy L.

Jannink, Jean-Luc
Funding

Funding for this research was provided by:

Bill and Melinda Gates Foundation (OPP1048542)

The Department for International Development of the United Kingdom
License Information

Text and Data Mining valid from 2018-12-01

Version of Record valid from 2018-12-12
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Article History

Received: 29 March 2018

Accepted: 19 November 2018

First Online: 12 December 2018

Ethics approval and consent to participate

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: The authors declare that they have no competing interests.

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