Brian C. Searle
Brian C. Searle
The Ohio State University, Proteome Software
Verified email at - Homepage
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Scaffold: a bioinformatic tool for validating MS/MS‐based proteomic studies
BC Searle
Proteomics 10 (6), 1265-1269, 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
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
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
A face in the crowd: recognizing peptides through database search
JK Eng, BC Searle, KR Clauser, DL Tabb
Molecular & Cellular Proteomics 10 (11), 2011
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
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
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
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
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
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
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
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
Thesaurus: quantifying phosphopeptide positional isomers
BC Searle, RT Lawrence, MJ MacCoss, J Villén
Nature methods 16 (8), 703-706, 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
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
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
Interlaboratory studies and initiatives developing standards for proteomics
AR Ivanov, CM Colangelo, CP Dufresne, DB Friedman, KS Lilley, ...
Proteomics 13 (6), 904-909, 2013
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
Data-independent acquisition mass spectrometry to quantify protein levels in FFPE tumor biopsies for molecular diagnostics
YJ Kim, SMM Sweet, JD Egertson, AJ Sedgewick, S Woo, W Liao, ...
Journal of proteome research 18 (1), 426-435, 2018
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