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

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Li,  Mingkun
Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Max Planck Society;
The Leipzig School of Human Origins (IMPRS), Max Planck Institute for Evolutionary Anthropology, Max Planck Society;

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Stoneking,  Mark
Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Max Planck Society;
Human Population History, Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Max Planck Society;

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Li_A-new_BMCGenBiol_2012.pdf
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Citation

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.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0010-23BE-5
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