English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

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