| Scaffold: a bioinformatic tool for validating MS/MS‐based proteomic studies BC Searle Proteomics 10 (6), 1265-1269, 2010 | 589 | 2010 |
| The Skyline ecosystem: Informatics for quantitative mass spectrometry proteomics LK Pino, BC Searle, JG Bollinger, B Nunn, B MacLean, MJ MacCoss Mass spectrometry reviews 39 (3), 229-244, 2020 | 358 | 2020 |
| Chromatogram libraries improve peptide detection and quantification by data independent acquisition mass spectrometry BC Searle, LK Pino, JD Egertson, YS Ting, RT Lawrence, BX MacLean, ... Nature communications 9 (1), 5128, 2018 | 263 | 2018 |
| Improving sensitivity by probabilistically combining results from multiple MS/MS search methodologies BC Searle, M Turner, AI Nesvizhskii The Journal of Proteome Research 7 (1), 245-253, 2008 | 218 | 2008 |
| The mzIdentML data standard for mass spectrometry-based proteomics results AR Jones, M Eisenacher, G Mayer, O Kohlbacher, J Siepen, SJ Hubbard, ... Molecular & Cellular Proteomics 11 (7), M111. 014381-1-M111. 014381-10, 2012 | 208 | 2012 |
| A face in the crowd: recognizing peptides through database search JK Eng, BC Searle, KR Clauser, DL Tabb Molecular & Cellular Proteomics 10 (11), 2011 | 185 | 2011 |
| High-throughput identification of proteins and unanticipated sequence modifications using a mass-based alignment algorithm for MS/MS de novo sequencing results BC Searle, S Dasari, M Turner, AP Reddy, D Choi, PA Wilmarth, ... Analytical chemistry 76 (8), 2220-2230, 2004 | 176 | 2004 |
| Identification of protein modifications using MS/MS de novo sequencing and the OpenSea alignment algorithm BC Searle, S Dasari, PA Wilmarth, M Turner, AP Reddy, LL David, ... Journal of proteome research 4 (2), 546-554, 2005 | 150 | 2005 |
| PECAN: library-free peptide detection for data-independent acquisition tandem mass spectrometry data YS Ting, JD Egertson, JG Bollinger, BC Searle, SH Payne, WS Noble, ... Nature methods 14 (9), 903-908, 2017 | 149 | 2017 |
| Generating high quality libraries for DIA MS with empirically corrected peptide predictions BC Searle, KE Swearingen, CA Barnes, T Schmidt, S Gessulat, B Küster, ... Nature communications 11 (1), 1548, 2020 | 121 | 2020 |
| Plug-and-play analysis of the human phosphoproteome by targeted high-resolution mass spectrometry RT Lawrence, BC Searle, A Llovet, J Villén Nature methods 13 (5), 431-434, 2016 | 111 | 2016 |
| Acquiring and analyzing data independent acquisition proteomics experiments without spectrum libraries LK Pino, SC Just, MJ MacCoss, BC Searle Molecular & Cellular Proteomics 19 (7), 1088-1103, 2020 | 89 | 2020 |
| Using data independent acquisition (DIA) to model high-responding peptides for targeted proteomics experiments BC Searle, JD Egertson, JG Bollinger, AB Stergachis, MJ MacCoss Molecular & Cellular Proteomics 14 (9), 2331-2340, 2015 | 40 | 2015 |
| Thesaurus: quantifying phosphopeptide positional isomers BC Searle, RT Lawrence, MJ MacCoss, J Villén Nature methods 16 (8), 703-706, 2019 | 38 | 2019 |
| Interlaboratory studies and initiatives developing standards for proteomics AR Ivanov, CM Colangelo, CP Dufresne, DB Friedman, KS Lilley, ... Proteomics 13 (6), 904-909, 2013 | 29 | 2013 |
| Calibration using a single-point external reference material harmonizes quantitative mass spectrometry proteomics data between platforms and laboratories LK Pino, BC Searle, EL Huang, WS Noble, AN Hoofnagle, MJ MacCoss Analytical chemistry 90 (21), 13112-13117, 2018 | 28 | 2018 |
| Incorporating in-source fragment information improves metabolite identification accuracy in untargeted LC–MS data sets PM Seitzer, BC Searle Journal of proteome research 18 (2), 791-796, 2018 | 27 | 2018 |
| Matrix-matched calibration curves for assessing analytical figures of merit in quantitative proteomics LK Pino, BC Searle, HY Yang, AN Hoofnagle, WS Noble, MJ MacCoss Journal of proteome research 19 (3), 1147-1153, 2020 | 22 | 2020 |
| Identification of respiratory vagal feedback in awake normal subjects using pseudorandom unloading BF BuSha, BG Judd, HL Manning, PM Simon, BC Searle, ... Journal of Applied Physiology 90 (6), 2330-2340, 2001 | 22 | 2001 |
| A standardized framing for reporting protein identifications in mzIdentML 1.2 SL Seymour, T Farrah, PA Binz, RJ Chalkley, JS Cottrell, BC Searle, ... Proteomics 14 (21-22), 2389-2399, 2014 | 19 | 2014 |
Michael MacCossProfessor of Genome Sciences, University of WashingtonVerified email at uw.edu
