Matthew Chambers

发表

TagRecon: high-throughput mutation identification through sequence tagging.

D. Tabb, R. Slebos, A. Ham, 2010, Journal of proteome research.

MyriMatch: highly accurate tandem mass spectral peptide identification by multivariate hypergeometric analysis.

D. Tabb, Matthew Chambers, C. Fernando, 2007, Journal of proteome research.

QuaMeter: multivendor performance metrics for LC-MS/MS proteomics instrumentation.

Lorenzo J. Vega-Montoto, B. Gibson, D. Tabb, 2012, Analytical chemistry.

Proteomic parsimony through bipartite graph analysis improves accuracy and transparency.

D. Tabb, Matthew Chambers, B. Zhang, 2007, Journal of proteome research.

IDPicker 2.0: Improved protein assembly with high discrimination peptide identification filtering.

Michael D. Litton, Scott M. Sobecki, B. Gibson, 2009, Journal of proteome research.

A Cross-platform Toolkit for Mass Spectrometry and Proteomics

Natalie I. Tasman, Jarrett D. Egertson, D. Ruderman, 2012, Nature Biotechnology.

Proteogenomic characterization of human colon and rectal cancer

Jeffrey R. Whiteaker, S. Carr, M. Ellis, 2014, Nature.

Greazy: Open-Source Software for Automated Phospholipid Tandem Mass Spectrometry Identification.

Johannes Griss, Alexey I Nesvizhskii, David L Tabb, 2016, Analytical chemistry.

DirecTag: accurate sequence tags from peptide MS/MS through statistical scoring.

David L Tabb, Matthew C Chambers, Amy-Joan L Ham, 2008, Journal of proteome research.

Proteogenomic landscape of squamous cell lung cancer

Katherine M Fellows, S. Eschrich, R. Slebos, 2019, Nature Communications.

Public infrastructure for cancer biomarker data capture, annotation, analysis, and distribution

Chris Mattmann, Matthew Chambers, David L. Tabb, 2013, AMIA.

Greazy: open-source software for automated phospholipid MS/MS identification

Michael A. Kochen, Jay D. Holman, A. Nesvizhskii, 2015 .

Resource Proteogenomic Analysis of Human Colon Cancer Reveals New Therapeutic Opportunities Graphical

Ronald J. Moore, Sara R. Savage, Richard D. Smith, 2022 .

Cullin-independent recognition of HHARI substrates by a dynamic RBR catalytic domain.

B. MacLean, M. MacCoss, T. Davis, 2022, Structure.

The Molecular Epidemiological Study of HCV Subtypes among Intravenous Drug Users and Non-Injection Drug Users in China

H. Qian, Matthew Chambers, Hui Zhang, 2015, PloS one.

Bioinformatics Applications Note Gene Expression Skyline: an Open Source Document Editor for Creating and Analyzing Targeted Proteomics Experiments

Brendan MacLean, Daniela M. Tomazela, Nicholas Shulman, 2022 .

The HUPO proteomics standards initiative- mass spectrometry controlled vocabulary

Martin Eisenacher, Juan Antonio Vizcaíno, Henning Hermjakob, 2013, Database J. Biol. Databases Curation.

The mzIdentML Data Standard for Mass Spectrometry-Based Proteomics Results

Martin Eisenacher, Johannes Griss, Juan Antonio Vizcaíno, 2012, Molecular & Cellular Proteomics.

mzML—a Community Standard for Mass Spectrometry Data*

Lennart Martens, Henning Hermjakob, Fredrik Levander, 2010, Molecular & Cellular Proteomics.

Colorectal Cancer Cell Line Proteomes Are Representative of Primary Tumors and Predict Drug Sensitivity.

Daniel C. Liebler, Xiaojing Wang, Bing Zhang, 2017, Gastroenterology.

Detection of Proteome Diversity Resulted from Alternative Splicing is Limited by Trypsin Cleavage Specificity*

Daniel C. Liebler, Xiaojing Wang, Matthew C. Chambers, 2017, Molecular & Cellular Proteomics.

Proteogenomic Analysis of Human Colon Cancer Reveals New Therapeutic Opportunities

Subha Madhavan, Peter B. McGarvey, Li Ding, 2019, Cell.

iPRG-2013: Proteome Informatics Research Group Study: Using RNA-Seq Data to Refine Proteomic Data Analysis

Henry H. N. Lam, E. Deutsch, O. Vitek, 2013 .

Sequence tagging reveals unexpected modifications in toxicoproteomics.

David L Tabb, Matthew C Chambers, Ben C Collins, 2011, Chemical research in toxicology.

Reproducibility of Differential Proteomic Technologies in CPTAC Fractionated Xenografts

David L. Tabb, Daniel C. Liebler, Bing Zhang, 2015, Journal of proteome research.

TraML—A Standard Format for Exchange of Selected Reaction Monitoring Transition Lists*

Lennart Martens, Fredrik Levander, Matthew Chambers, 2011, Molecular & Cellular Proteomics.

proBAMsuite, a Bioinformatics Framework for Genome-Based Representation and Analysis of Proteomics Data*

David L. Tabb, Daniel C. Liebler, Xiaojing Wang, 2015, Molecular & Cellular Proteomics.

Correcting systematic bias and instrument measurement drift with mzRefinery

Matthew Chambers, David L. Tabb, Matthew E. Monroe, 2015, Bioinform..

Pepitome: evaluating improved spectral library search for identification complementarity and quality assessment.

David L Tabb, Surendra Dasari, Matthew C Chambers, 2012, Journal of proteome research.

The 2012/2013 ABRF Proteomic Research Group Study: Assessing Longitudinal Intralaboratory Variability in Routine Peptide Liquid Chromatography Tandem Mass Spectrometry Analyses*

David L. Tabb, Keiryn L. Bennett, Robert L. Moritz, 2015, Molecular & Cellular Proteomics.

A Laboratory-Targeted, Data Management and Processing System for the Early Detection Research Network

Chris Mattmann, Rishi Verma, Matthew Chambers, 2014, 2014 IEEE 27th International Symposium on Computer-Based Medical Systems.

QC Metrics from CPTAC Raw LC-MS/MS Data Interpreted through Multivariate Statistics

David L. Tabb, Stephen E. Stein, Matthew C. Chambers, 2014, Analytical chemistry.

IDPQuantify: combining precursor intensity with spectral counts for protein and peptide quantification.

David L Tabb, J. L. Turner, Matthew C Chambers, 2013, Journal of proteome research.

ScanRanker: Quality assessment of tandem mass spectra via sequence tagging.

Birgit Schilling, David L Tabb, Matthew C Chambers, 2011, Journal of proteome research.

TagRecon: high-throughput mutation identification through sequence tagging.

D. Tabb, R. Slebos, A. Ham, 2010, Journal of proteome research.

Colorectal Cancer Cell Line Proteomes Are Representative of Primary Tumors and Predict Drug Sensitivity.

C. Yau, R. Jorissen, O. Sieber, 2017, Gastroenterology.

Basophile: Accurate Fragment Charge State Prediction Improves Peptide Identification Rates

Kan Chen, Dong Wang, Matthew Chambers, 2013, Genom. Proteom. Bioinform..