Enabling proteomics-based identification of human cancer variations

BMC Bioinformatics

Poster Presentation

Bing Zhang¹  Zeqiang Ma¹  Jing Li¹  David L Tabb²  Daniel C Liebler³  Robbert JC Slebos⁴ 

[1] Department of Biomedical Informatics, Vanderbilt University School of Medicine, 37232, Nashville, TN, USA;Department of Biomedical Informatics, Vanderbilt University School of Medicine, 37232, Nashville, TN, USA;Department of Biochemistry, Vanderbilt University School of Medicine, 37232, Nashville, TN, USA;Department of Biomedical Informatics, Vanderbilt University School of Medicine, 37232, Nashville, TN, USA;Jim Ayers Institute for Precancer Detection and Diagnosis, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, 37232, Nashville, TN, USA;Department of Biochemistry, Vanderbilt University School of Medicine, 37232, Nashville, TN, USA;Jim Ayers Institute for Precancer Detection and Diagnosis, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, 37232, Nashville, TN, USA;

关键词: Mutation Information;    Protein Identification;    HCT116 Cell;    Colorectal Cancer Cell;    Colorectal Cancer Cell Line;   

DOI  :  10.1186/1471-2105-11-S4-P29

来源: Springer

【 授权许可】

CC BY   
© Zhang et al; licensee BioMed Central Ltd. 2010. This article is published under license to BioMed Central Ltd.