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  Proteomics Wants cRacker: Automated Standardized Data Analysis of LC-MS Derived Proteomic Data

Zauber, H., & Schulze, W. X. (2012). Proteomics Wants cRacker: Automated Standardized Data Analysis of LC-MS Derived Proteomic Data. Journal of Proteome Research, 11(11), 5548-5555. doi:10.1021/Pr300413y.

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Zauber-2012-Proteomics Wants cRa.pdf (Any fulltext), 426KB
 
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 Creators:
Zauber, H.1, Author           
Schulze, W. X.1, Author           
Affiliations:
1Signalling Proteomics, Department Stitt, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753330              

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Free keywords: quantitative proteomics large scale data analysis multivariate statistics automation software tool ion intensities spectrometry-based proteomics quantitative mass-spectrometry higher-plant cells open-source system label-free protein identification sucrose starvation arabidopsis tool quantification
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Language(s): eng - English
 Dates: 2012-09-182012
 Publication Status: Issued
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 Identifiers: ISI: ISI:000311190600037
DOI: 10.1021/Pr300413y
ISSN: 1535-3907 (Electronic) 1535-3893 (Linking)
URI: ://000311190600037 http://pubs.acs.org/doi/pdfplus/10.1021/pr300413v
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Title: Journal of Proteome Research
Source Genre: Journal
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Pages: - Volume / Issue: 11 (11) Sequence Number: - Start / End Page: 5548 - 5555 Identifier: -