| Scaffold: a bioinformatic tool for validating MS/MS‐based proteomic studies BC Searle Proteomics 10 (6), 1265-1269, 2010 | 674 | 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 | 615 | 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 | 453 | 2018 |
| A face in the crowd: recognizing peptides through database search JK Eng, BC Searle, KR Clauser, DL Tabb Molecular & Cellular Proteomics 10 (11), 2011 | 239 | 2011 |
| 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 | 232 | 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 | 228 | 2012 |
| 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 | 227 | 2020 |
| 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 | 209 | 2020 |
| 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 | 206 | 2017 |
| 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 | 180 | 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 | 154 | 2005 |
| 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 | 133 | 2016 |
| Evaluating the performance of the astral mass analyzer for quantitative proteomics using data-independent acquisition LR Heil, E Damoc, TN Arrey, A Pashkova, E Denisov, J Petzoldt, ... Journal of proteome research 22 (10), 3290-3300, 2023 | 73 | 2023 |
| Thesaurus: quantifying phosphopeptide positional isomers BC Searle, RT Lawrence, MJ MacCoss, J Villén Nature methods 16 (8), 703-706, 2019 | 57 | 2019 |
| 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 | 55 | 2015 |
| 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 | 45 | 2020 |
| 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 | 40 | 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 | 37 | 2018 |
| Interlaboratory studies and initiatives developing standards for proteomics AR Ivanov, CM Colangelo, CP Dufresne, DB Friedman, KS Lilley, ... Proteomics 13 (6), 904-909, 2013 | 37 | 2013 |
| Profiling mouse brown and white adipocytes to identify metabolically relevant small ORFs and functional microproteins TF Martinez, S Lyons-Abbott, AL Bookout, EV De Souza, C Donaldson, ... Cell metabolism 35 (1), 166-183. e11, 2023 | 31 | 2023 |
Michael MacCossProfessor of Genome Sciences, University of WashingtonVerified email at uw.edu
