| Modeling mass spectrometry-based protein analysis. | |
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MedLine Citation:
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PMID: 21082431 Owner: NLM Status: In-Process |
Abstract/OtherAbstract:
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The success of mass spectrometry based proteomics depends on efficient methods for data analysis. These methods require a detailed understanding of the information value of the data. Here, we describe how the information value can be elucidated by performing simulations using synthetic data. |
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Authors:
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Jan Eriksson; David Fenyö |
Publication Detail:
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Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Methods in molecular biology (Clifton, N.J.) Volume: 694 ISSN: 1940-6029 ISO Abbreviation: Methods Mol. Biol. Publication Date: 2011 |
Date Detail:
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Created Date: 2010-11-18 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9214969 Medline TA: Methods Mol Biol Country: United States |
Other Details:
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Languages: eng Pagination: 109-17 Citation Subset: IM |
Affiliation:
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Swedish University of Agricultural Sciences, Uppsala, Sweden. |
Export Citation:
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Descriptor/Qualifier:
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| Grant Support | |
ID/Acronym/Agency:
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CA126485/CA/NCI NIH HHS; DE018385/DE/NIDCR NIH HHS; NS050276/NS/NINDS NIH HHS; RR00862/RR/NCRR NIH HHS; RR022220/RR/NCRR NIH HHS |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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