Research Interests:
Bioinformatics|Mass Spectreometry-based Proteomics

Mass spectrometry (MS) is the key experimental method for large-scale protein identification. 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.
I'm currently research on top-down proteomics, which is an alternative to common Bottom Up strategies for protein analysis. In the Top Down approach, intact proteins are fragmented directly in the mass spectrometer to achieve both protein identification and characterization, even capturing information on combinatorial post-translational modifications.

Software tools

pXtract, a software to creates .DTA、.MGF and .MS2 input files directly from Thermo Scientific .raw LC-MS/MS data files.

For each fragmentation spectrum, pXtract first attempts to determine the precursor charge state using the information recorded in the scan header. If this information is available, only a single spectrum is written using that precursor charge. If it is not available(could not be determined by the instrument firmware), spectrum is generated for +2 and +3 state. The precursor [M + H]+ value is written with its crresponding charge state, followed by every centroid m/z and intensity pair form the MS2 scan.

Education

I received my bachelor's degree in Department of Software Engineering in 2009 from Beijing University of Aeronautics and Astronautics.

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