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  Searching for a needle in a stack of needles: challenges in metaproteomics data analysis.

Muth, T., Benndorf, D., Reichl, U., Rapp, E., & Martens, L. (2013). Searching for a needle in a stack of needles: challenges in metaproteomics data analysis. Molecular BioSystems, 9(4), 578-585. doi:10.1039/c2mb25415h.

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This publication is with permission of the rights owner freely accessible due to an Alliance licence and a national licence (funded by the DFG, German Research Foundation) respectively
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 Creators:
Muth, Thilo1, Author           
Benndorf, Dirk1, Author           
Reichl, Udo1, 2, Author           
Rapp, Erdmann1, Author           
Martens, L.2, Author
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1Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738140              
2Otto-von-Guericke-Universität Magdeburg, ou_1738156              

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 Abstract: In the past years the integral study of microbial communities of varying complexity has gained increasing research interest. Mass spectrometry-driven metaproteomics enables the analysis of such communities on the functional level, but this fledgling field still faces various technical and semantic challenges regarding experimental data analysis and interpretation. In the present review, we outline the hurdles involved and attempt to cover the most valuable methods and software implementations available to researchers in the field today. Beyond merely focusing on protein identification, we provide an overview on different data pre- and post-processing steps, such as metabolic pathway analysis, that can be useful in a typical metaproteomics workflow. Finally, we briefly discuss directions for future work. c The Royal Society of Chemistry 2013 [accessed 2013 March 13th]

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Language(s): eng - English
 Dates: 2013
 Publication Status: Issued
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 Rev. Type: Peer
 Identifiers: eDoc: 635033
DOI: 10.1039/c2mb25415h
Other: 7/13
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Title: Molecular BioSystems
Source Genre: Journal
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Pages: - Volume / Issue: 9 (4) Sequence Number: - Start / End Page: 578 - 585 Identifier: ISSN: 1742-206X