Practicality of identifying mitochondria variants from exome and RNAseq data

BMC Bioinformatics

Poster Presentation

David C Samuels¹  Yu Shyr²  Yan Guo²  Pan Zhang²  Brian Lehmann³  Jennifer Pietenpol³  Thomas Stricker⁴ 

[1] Center for Human Genetics Research, Vanderbilt University, 37037, Nashville, TN, USA;Center for Quantitative Sciences, Vanderbilt University, 37027, Nashville, TN, USA;Department of Biochemistry, Vanderbilt University, 37232, Nashville, TN, USA;Department of Pathology, Vanderbilt University, 37027, Nashville, TN, USA;

关键词: False Discovery Rate;    Breast Cancer Cell Line;    RNAseq Data;    Nuclear Genome;    Exome Sequencing;   

DOI  :  10.1186/1471-2105-16-S15-P6

来源: Springer

【 授权许可】

Unknown   
© Zhang et al. 2015. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.