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

Li, Mingkun; Stoneking, Mark

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

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Journal Article

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

MPS-Authors

/persons/resource/persons72823

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;

/persons/resource/persons72992

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;

External Resource

No external resources are shared

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

Li_A-new_BMCGenBiol_2012.pdf
(Publisher version), 3MB

Supplementary Material (public)

There is no public supplementary material available

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

Abstract

There is no abstract available