| Proteogenomic characterization of human colon and rectal cancer B Zhang, J Wang, X Wang, J Zhu, Q Liu, Z Shi, MC Chambers, ... Nature 513 (7518), 382-387, 2014 | 1267 | 2014 |
| MS-GF+ makes progress towards a universal database search tool for proteomics S Kim, PA Pevzner Nature communications 5 (1), 5277, 2014 | 955 | 2014 |
| Strelka2: fast and accurate calling of germline and somatic variants S Kim, K Scheffler, AL Halpern, MA Bekritsky, E Noh, M Källberg, X Chen, ... Nature methods 15 (8), 591-594, 2018 | 720 | 2018 |
| Spectral probabilities and generating functions of tandem mass spectra: a strike against decoy databases S Kim, N Gupta, PA Pevzner Journal of proteome research 7 (8), 3354-3363, 2008 | 458 | 2008 |
| The generating function of CID, ETD, and CID/ETD pairs of tandem mass spectra: applications to database search S Kim, N Mischerikow, N Bandeira, JD Navarro, L Wich, S Mohammed, ... Molecular & Cellular Proteomics 9 (12), 2840-2852, 2010 | 271 | 2010 |
| False discovery rates in spectral identification K Jeong, S Kim, N Bandeira BMC bioinformatics 13, 1-15, 2012 | 153 | 2012 |
| Peptide-centric proteome analysis: an alternative strategy for the analysis of tandem mass spectrometry data YS Ting, JD Egertson, SH Payne, S Kim, B MacLean, L Käll, R Aebersold, ... Molecular & Cellular Proteomics 14 (9), 2301-2307, 2015 | 150 | 2015 |
| An open-source computational and data resource to analyze digital maps of immunopeptidomes E Caron, L Espona, DJ Kowalewski, H Schuster, N Ternette, A Alpízar, ... Elife 4, e07661, 2015 | 120 | 2015 |
| Informed-Proteomics: open-source software package for top-down proteomics J Park, PD Piehowski, C Wilkins, M Zhou, J Mendoza, GM Fujimoto, ... Nature methods 14 (9), 909-914, 2017 | 118 | 2017 |
| Spectral dictionaries: Integrating de novo peptide sequencing with database search of tandem mass spectra S Kim, N Gupta, N Bandeira, PA Pevzner Molecular & Cellular Proteomics 8 (1), 53-69, 2009 | 114 | 2009 |
| LIQUID: an-open source software for identifying lipids in LC-MS/MS-based lipidomics data JE Kyle, KL Crowell, CP Casey, GM Fujimoto, S Kim, SE Dautel, RD Smith, ... Bioinformatics 33 (11), 1744-1746, 2017 | 103 | 2017 |
| Fast and accurate database searches with MS-GF+ Percolator V Granholm, S Kim, JCF Navarro, E Sjolund, RD Smith, L Kall Journal of proteome research 13 (2), 890-897, 2014 | 98 | 2014 |
| UniNovo : A Universal Tool for de Novo Peptide Sequencing K Jeong, S Kim, PA Pevzner Research in Computational Molecular Biology: 17th Annual International …, 2013 | 84 | 2013 |
| MOD i : a powerful and convenient web server for identifying multiple post-translational peptide modifications from tandem mass spectra S Kim, S Na, JW Sim, H Park, J Jeong, H Kim, Y Seo, J Seo, KJ Lee, ... Nucleic acids research 34 (suppl_2), W258-W263, 2006 | 66 | 2006 |
| High-resolution ultrahigh-pressure long column reversed-phase liquid chromatography for top-down proteomics Y Shen, N Tolić, PD Piehowski, AK Shukla, S Kim, R Zhao, Y Qu, ... Journal of Chromatography A 1498, 99-110, 2017 | 62 | 2017 |
| Expanding proteome coverage with orthogonal-specificity α-lytic proteases JG Meyer, S Kim, DA Maltby, M Ghassemian, N Bandeira, EA Komives Molecular & Cellular Proteomics 13 (3), 823-835, 2014 | 52 | 2014 |
| Reproducibility of differential proteomic technologies in CPTAC fractionated xenografts DL Tabb, X Wang, SA Carr, KR Clauser, P Mertins, MC Chambers, ... Journal of proteome research 15 (3), 691-706, 2016 | 48 | 2016 |
| Spectral profiles, a novel representation of tandem mass spectra and their applications for de novo peptide sequencing and identification S Kim, N Bandeira, PA Pevzner Molecular & Cellular Proteomics 8 (6), 1391-1400, 2009 | 46 | 2009 |
| study: Detection of differentially abundant proteins in label-free quantitative LC-MS/MS experiments M Choi, ZF Eren-Dogu, C Colangelo, J Cottrell, MR Hoopmann, EA Kapp, ... J Proteome Res 16 (2), 945-957, 2017 | 37 | 2017 |
| Live cell chemical profiling of temporal redox dynamics in a photoautotrophic cyanobacterium NC Sadler, MR Melnicki, MH Serres, ED Merkley, WB Chrisler, EA Hill, ... ACS chemical biology 9 (1), 291-300, 2014 | 35 | 2014 |
Pavel PevznerProfessor of Computer Science, University of California at San DiegoVerified email at eng.ucsd.edu
