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Backgrounds
I am working with prof. Pavel Pevzner on developing algorithms in computational mass spectrometry. My current research focus is on (1) evaluating statistical significance of peptide identifications and (2) integrating de novo peptide sequencing with database search using
the generating function of tandem mass spectra.
Education
- Ph.D. in Computer Science and Engineering, University of California, San Diego, USA, Fall 2006 - present.
- M.S. in Computer Science and Engineering, Seoul National University, Seoul, Korea, 2000 - 2002.
- B.S. in Computer Science and Engineering, Seoul National University, Seoul, Korea, 1996 - 2000.
- Graduation, Seoul Science High School, Seoul, Korea, 1993 - 1996.
Recent Publications
- Sangtae Kim, Nitin Gupta, and Pavel Pevzner, Spectral Probabilities and Generating Function of Tahdem Mass Spectra: A Strike against Decoy Databases. Journal of Proteome Research, in press.
- Sangtae Kim, Nitin Gupta, and Pavel Pevzner, Spectral Dictionaries: Integrating De Novo Peptide Sequencing with Database Search of Tandem Mass Spectra, Molecular & Cellular Proteomics, in press.
Conference Presentations(Oral)
- Sangtae Kim, Nitin Gupta, Pavel Pevzner, Evaluating Statistical Significance of Peptide Identifications Using the Partition Function of Tandem Mass Spectra, HUPO 6th Annual World Congress, Seoul, Korea, Oct., 2007.
- Pavel Pevzner, Sangtae Kim, Nitin Gupta, The Partition Function of Tandem Mass Spectra: a New Approach to Evaluating Statistical Significance of Peptide Identifications, 55th American Society for Mass Spectrometry(ASMS) Conference, Indianapolis, USA, June, 2007.
Previous Publications
- Sangtae Kim, Seungjin Na, Ji Woong Sim, Heejin Park, Jaeho Jeong, Hokeun Kim, Younghwan Seo, Jawon Seo, Kong-Joo Lee and Eunok Paek, MODi : a powerful and convenient web server for identifying multiple post-translational peptide modifications from tandem mass spectra, Nucleic Acids Research, 34, W258-W263, July 2006.
- Sangtae Kim, Jeong Seop Sim, Heejin Park, Kunsoo Park, Hyunseok Park and Jeong-Sun Seo,
A Heuristic Algorithm to Find All Normalized Local Alignments Above Threshold, Genomics & Informatics, 1(1), 26-32, Sep. 2003.