Email updates

Keep up to date with the latest news and content from BMC Proceedings and BioMed Central.

This article is part of the supplement: Selected Proceedings of the 6th International Symposium on Bioinformatics Research and Applications (ISBRA'10)

Open Access Highly Accessed Proceedings

Inferring ethnicity from mitochondrial DNA sequence

Chih Lee1, Ion I Măndoiu1 and Craig E Nelson2

Author Affiliations

1 Computer Science and Engineering Department, University of Connecticut, Storrs, CT, USA

2 Molecular and Cell Biology Department, University of Connecticut, Storrs, CT, USA

BMC Proceedings 2011, 5(Suppl 2):S11  doi:10.1186/1753-6561-5-S2-S11

Published: 28 April 2011

Additional files

Additional file 1:

Coverage of samples Percentage of samples covering each position of HVR1 and HVR2 in the forensic (A) and published (B) datasets.

Format: PDF Size: 255KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data

Additional file 2:

Sample composition of the forensic and published datasets Ethnicity composition of each haplogroup (A) and haplogroup composition of each ethnic group (B) for the forensic and published datasets.

Format: PDF Size: 70KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data

Additional file 3:

Accuracy of short segments of HVR Comparison of PCA-QDA, PCA-LDA, 1NN, and PCA-SVM 5-fold CV micro-accuracy on 6 selected windows of 165-271bp spanning the most informative regions of HVR1 and HVR2.

Format: PDF Size: 73KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data

Additional file 4:

Accuracy of PCA-SVM using different schemes for handling missing data

Format: PDF Size: 30KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data

Additional file 5:

Calibration of PCA-SVM posterior probabilities for the FBI published dataset The actual accuracy rates are slightly higher than the estimated posterior probabilities.

Format: PDF Size: 47KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data