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  A new approach for detecting low-level mutations in next-generation sequence data

Li, M., & Stoneking, M. (2012). A new approach for detecting low-level mutations in next-generation sequence data. Genome Biology, 13(5): R34. doi:10.1186/gb-2012-13-5-r34.

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Li_New_Genome_Biol_2012.pdf (Publisher version), 7MB
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Li_New_Genome_Biol_2012.pdf
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This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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 Creators:
Li, Mingkun1, Author           
Stoneking, Mark1, Author           
Affiliations:
1Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Max Planck Society, ou_1497672              

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Language(s): eng - English
 Dates: 2012-05-23
 Publication Status: Published online
 Pages: 15
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1186/gb-2012-13-5-r34
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Title: Genome Biology
Source Genre: Journal
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Publ. Info: London : BioMed Central Ltd.
Pages: - Volume / Issue: 13 (5) Sequence Number: R34 Start / End Page: - Identifier: ISSN: 1465-6906
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000224390_1