Publication: Proteome coverage prediction with infinite Markov models
Date
Date
Date
2009
Journal Article
Published version
Abstract
Abstract
Abstract
Motivation: Liquid chromatography tandem mass spectrometry (LC-MS/MS) is the predominant method to comprehensively characterize complex protein mixtures such as samples from prefractionated or complete proteomes. In order to maximize proteome coverage for the studied sample, i.e. identify as many traceable proteins as possible, LC-MS/MS experiments are typically repeated extensively and the results combined. Proteome coverage prediction is the task of estimating the number of peptide discoveries of future LC-MS/MS experiments. Proteom
Additional indexing
Creators (Authors)
- Claassen, M
- Aebersold, R
- Buhmann, J M
Volume
Volume
Volume
25
Number
Number
Number
12
Page range/Item number
Page range/Item number
Page range/Item number
i154
Page end
Page end
Page end
i160
Item Type
Item Type
Item Type
Journal Article
In collections
Language
Language
Language
English
Publication date
Publication date
Publication date
2009-06-15
Date available
Date available
Date available
2018-11-08
ISSN or e-ISSN
ISSN or e-ISSN
ISSN or e-ISSN
1367-4803
OA Status
OA Status
OA Status
Hybrid
Free Access at
Free Access at
Free Access at
Pubmed ID
Publisher DOI
Hybrid Open Access
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