Challenges and perspectives of metaproteomic data analysis.
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Date
2017Author
Heyer, Robert
Schallert, Kay
Zoun, Roman
Becher, Beatrice
Saake, Gunter
Benndorf, Dirk
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Show full item recordAbstract
In nature microorganisms live in complex microbial communities. Comprehensive taxonomic and functional
knowledge about microbial communities supports medical and technical application such as fecal diagnostics as
well as operation of biogas plants or waste water treatment plants. Furthermore, microbial communities are
crucial for the global carbon and nitrogen cycle in soil and in the ocean. Among the methods available for
investigation of microbial communities, metaproteomics can approximate the activity of microorganisms by
investigating the protein content of a sample. Although metaproteomics is a very powerful method, issues within
the bioinformatic evaluation impede its success. In particular, construction of databases for protein identification,
grouping of redundant proteins as well as taxonomic and functional annotation pose big challenges.
Furthermore, growing amounts of data within a metaproteomics study require dedicated algorithms and software.
This review summariz.....
Journal
Journal of BiotechnologyVolume
261Page Range
pp.24-36Document Language
enEssential Ocean Variables (EOV)
Microbe biomass and diversityBest Practice Type
GuideDOI Original
https://doi.org/10.1016/j.jbiotec.2017.06.1201Citation
Heyer, R.; Schallert, K,; Zoun, R.; Becher, B.; Saake, G. and Benndorf, D. (2017) Challenges and perspectives of metaproteomic data analysis. Journal of Biotechnology, 261, pp. 24-36. DOI: https://doi.org/10.1016/j.jbiotec.2017.06.1201.Collections
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