Brian C. Searle
Brian C. Searle
Institute for Systems Biology, Proteome Software
Verified email at - Homepage
Cited by
Cited by
Scaffold: a bioinformatic tool for validating MS/MS‐based proteomic studies
BC Searle
Proteomics 10 (6), 1265-1269, 2010
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
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), 2012
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
A face in the crowd: recognizing peptides through database search
JK Eng, BC Searle, KR Clauser, DL Tabb
Molecular & Cellular Proteomics 10 (11), 2011
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
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
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
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
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), 1-12, 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
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
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
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
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
Thesaurus: quantifying phosphopeptide positional isomers
BC Searle, RT Lawrence, MJ MacCoss, J Villén
Nature methods 16 (8), 703-706, 2019
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
P17-M Improving Sensitivity by Combining Results from Multiple MS/MS Search Methodologies with the Scaffold Computer Algorithm
BC Searle, M Turner
Journal of Biomolecular Techniques: JBT 18 (1), 6, 2007
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), 1-10, 2020
Bioinformatic Evaluation of Datasets Derived from the ABRF sPRG Proteomics Standard
WS Lane, AI Nesvizhskii, B Searle, DL Tabb, JA Kowalak, SL Seymour
ABRF, 2007
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