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

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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). doi:10.1186/gb-2012-13-5-r34.

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Bookmark this item: http://pubman.mpdl.mpg.de/pubman/item/escidoc:1569735:3

Genre: Journal Article

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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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http://creativecommons.org/licenses/by/2.0

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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, escidoc:1497672

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Language(s): eng - English

Dates: Published Online: 2012-05-23

Pages: 15

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Rev. Method: 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: http://pubman.mpdl.mpg.de/cone/journals/resource/1000000000224390_1