中国科学院宁波材料技术与工程研究所

Dr.Min Xu:De novo visual proteomics in single cells through pattern mining

发布:2016-04-21

作者:随机复杂结构与数据科学重点实验室/生物信息学中心

来源:nocode:应用数学研究所

点赞:

字号: 打印:
 
Speaker:

Dr.Min Xu,University of Southern California, Carnegie Mellon University

Inviter: 张世华 博士
Title:
De novo visual proteomics in single cells through pattern mining
Time & Venue:

2016.4.29 15:00 S705

Abstract:
Cryo-electron tomography enables 3D visualization of cells in a near native state at molecular resolution. The produced cellular tomograms contain detailed information about all macromolecular complexes, their structures, their abundances and their specific spatial locations in the cell. However, extracting this information is very challenging and current methods usually rely on templates of known structure. Here, we formulate a template-free visual proteomics analysis as a de novo pattern mining problem and propose a new framework called "Multi Pattern Pursuit" for supporting proteome-scale de novo discovery of macromolecular complexes in cellular tomograms without using templates of known structures. Our tests on simulated and experimental tomograms show that our method is a promising tool for template-free visual proteomics analysis.
Affiliation: