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MS2PIP: a tool for MS/MS peak intensity prediction

author

Lennart Martens

1978 -

published in: Bioinformatics

date of publication: 2013-09-27

language: English

Cites articles 19

Date

Title

Authors

2013-06-15

Getting intimate with trypsin, the leading protease in proteomics

Lennart Martens
2011-02-07

A reproducibility-based evaluation procedure for quantifying the differences between MS/MS peak intensity normalization methods.

Lennart Martens
2011-04-18

Peptide identification quality control

Marc Vaudel, Albert Sickmann, Lennart Martens, René P. Zahedi
2010-12-22

On the accuracy and limits of peptide fragmentation spectrum prediction

Predrag Radivojac
2010-03-01

ms_lims, a simple yet powerful open source laboratory information management system for MS-driven proteomics

Kenny Helsens, Thilo Muth, An Staes, Albert Sickmann, Lennart Martens, Harald Barsnes
2009-10-26

Interlaboratory study characterizing a yeast performance standard for benchmarking LC-MS platform performance

Paul Tempst, David Tabb, Karl R. Clauser, David Fenyo, Daniel C. Liebler
2009-01-01

Review of factors that influence the abundance of ions produced in a tandem mass spectrometer and statistical methods for discovering these factors

Sheila Barton, John Whittaker
2008-07-30

A machine learning approach to explore the spectra intensity pattern of peptides using tandem mass spectrometry data

Jianfeng Feng
2007-03-01

Development and validation of a spectral library searching method for peptide identification from MS/MS.

Henry Lam, Ruedi Aebersold, Jimmy K. Eng, Eric W Deutsch, James S. Eddes, Richard S. Stein, Nichole L King
2007-02

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

David Tabb
2006-01-01

A machine learning approach to predicting peptide fragmentation spectra.

Predrag Radivojac
2006-01-01

Central limit theorem as an approximation for intensity-based scoring function
2005-12-01

MASPIC: intensity-based tandem mass spectrometry scoring scheme that improves peptide identification at high confidence.

David Tabb, Robert Hettich, Nathan C. Verberkmoes
2005-10-01

Prediction of low-energy collision-induced dissociation spectra of peptides with three or more charges
2004

Open mass spectrometry search algorithm
2004-06-12

TANDEM: matching proteins with tandem mass spectra
2004-07-01

Prediction of low-energy collision-induced dissociation spectra of peptides
2004-01-18

Intensity-based protein identification by machine learning from a library of tandem mass spectra.

Frederick P. Roth, Steven P. Gygi, Oliver D King
1999-12

Probability-based protein identification by searching sequence databases using mass spectrometry data

Article - wd:Q44337827

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