Proteomics approaches for the analysis of enriched microbial subpopulations and visualization of complex functional information

Current Opinion in Biotechnology

Volumn 24, Issue 1, 2013, Pages 112-119

  Bernhardt, Jörg ^a   Michalik, Stephan ^a   Wollscheid, Bernd ^b   Völker, Uwe ^a   Schmidt, Frank ^a  

^a UNIVERSITY OF GREIFSWALD   (Germany)

^b ETH ZURICH   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE RESPONSE; DATA RESOURCES; ENVIRONMENTAL STIMULI; FUNCTIONAL CHARACTERISTICS; FUNCTIONAL COMPLEXITY; FUNCTIONAL INFORMATION; HOST CELLS; MICROBIAL CELLS; MOLECULAR CHARACTERIZATION; MULTI-SPECIES; NETWORK GRAPH; PROTEOMES; PROTEOMICS; PROTEOMICS TECHNOLOGY; QUANTITATIVE CHARACTERIZATION; TREE-MAPS; VISUALIZATION METHOD; VORONOI;

MOLECULAR BIOLOGY; VISUALIZATION;

DATA VISUALIZATION;

ADAPTATION; CELL SELECTION; COMPUTER AIDED DESIGN; COMPUTER PROGRAM; DYNAMICS; ENVIRONMENTAL FACTOR; FLOW CYTOMETRY; HIGH THROUGHPUT SCREENING; HOST PATHOGEN INTERACTION; HUMAN; MASS SPECTROMETRY; MATHEMATICAL ANALYSIS; MICROBIAL COMMUNITY; MICROBIAL METABOLISM; MOLECULAR MODEL; NONHUMAN; PRIORITY JOURNAL; PROTEIN ANALYSIS; PROTEIN FUNCTION; PROTEOMICS; QUANTITATIVE ANALYSIS; REVIEW; SIGNAL TRANSDUCTION; SYSTEMS BIOLOGY;

ANIMALS; HOST-PATHOGEN INTERACTIONS; HUMANS; MICROBIOLOGICAL TECHNIQUES; PROTEOME; PROTEOMICS;

EID: 84872268114     PISSN: 09581669     EISSN: 18790429     Source Type: Journal    
DOI: 10.1016/j.copbio.2012.10.009     Document Type: Review

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