Email updates

Keep up to date with the latest news and content from Genome Biology and BioMed Central.

Open Access Highly Accessed Method

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

Mingkun Li* and Mark Stoneking

Author Affiliations

Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, D04103, Leipzig, Germany

For all author emails, please log on.

Genome Biology 2012, 13:R34  doi:10.1186/gb-2012-13-5-r34

Published: 23 May 2012

Additional files

Additional file 1:

Supplemental figures. This file contains Figures S1, S2, S3, S4, S5, S6, S7, and S8.

Format: PDF Size: 4.7MB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data

Additional file 2:

Supplemental materials and methods. Supplemental materials and methods include the following sections: Calculation of bias assuming a Poisson distribution; Calculation of bias using the Fisher exact test; Calculation of bias using the empirical distribution; Refinement of the method.

Format: DOC Size: 99KB Download file

This file can be viewed with: Microsoft Word Viewer

Open Data

Additional file 3:

Supplemental tables. This file contains Tables S1, S2, S3, S5, and S6.

Format: PDF Size: 70KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data

Additional file 4:

Table S4 - LLMs detected in the mtDNA dataset. An EXCEL table listing all the LLMs detected in the mtDNA dataset.

Format: XLS Size: 14KB Download file

This file can be viewed with: Microsoft Excel Viewer

Open Data