Research Interests: Bioinformatics | Mass Spectreometry-based Proteomics | Machine Learning

Mass spectrometry (MS) is the key experimental method for large-scale protein identification. The study of post-translational modifications (PTMs) is an important and challenging issue in proteomics. My research contributes to the technologies for mass spectra data analysis. To be more specific, my research is to develop algorithms and softwares to identify tandem mass (MS/MS) spectra, especially for PTM detecting.

One of my works is to develop an open MS/MS spectral library search tool. Spectral library search is a new and promising computational approach to mass spectrometry-based protein identification. However, its potential in identification of unanticipated PTMs has rarely been explored. The existing spectral library search tools are designed to match the query spectrum to the reference library spectra with the same peptide mass. Thus, spectra of peptides with unanticipated modifications cannot be identified.  In order to solve this problem, I mainly contribute to the development of the open spectral library search tool pMatch. It is deliberately designed in the open search mode, and is able to  identify query spectra from modified peptides according to the reference library spectra which are from unmodified or differently modified peptides.

Education

I received my bachelor's degree in Department of Computer Science and Technology in 2008 from Huazhong University of Scinese and Technology.

I am currently studying for master's degree in Graduate University of Chinese Academy of Scineses, and supervised by associate professor Ruixiang Sun in  Institute of Computing Technology.

Publications