From cultured to uncultured genome sequences: Metagenomics and modeling microbial ecosystems

Cellular and Molecular Life Sciences

Volumn 72, Issue 22, 2015, Pages 4287-4308

  Garza, Daniel R ^a   Dutilh, Bas E ^a,b,c  

^a RADBOUD UNIVERSITY MEDICAL CENTER   (Netherlands)

^b UTRECHT UNIVERSITY   (Netherlands)

^c FEDERAL UNIVERSITY OF RIO DE JANEIRO   (Brazil)

Author keywords

Biological dark matter; Eco systems biology; Metagenome wide modeling; Pan genomics, data recycling; Virus host association

Indexed keywords

BACTERIUM CULTURE; BIOINFORMATICS; DATA PROCESSING; ECOLOGICAL NICHE; GENETIC VARIABILITY; GEOGRAPHIC DISTRIBUTION; GRAM STAINING; MARKER GENE; METAGENOMICS; MICROBIAL COMMUNITY; MICROBIAL DIVERSITY; MICROBIAL ECOSYSTEM; MICROBIAL GENETICS; MICROBIAL POPULATION DYNAMICS; MICROBIOLOGICAL PARAMETERS; MOLECULAR EVOLUTION; NONHUMAN; PHYLOGENY; PLATE COUNT; POPULATION ABUNDANCE; REVIEW; SEQUENCE ANALYSIS; SYSTEMS BIOLOGY; VIRUS CELL INTERACTION; VIRUS CULTURE; COMPUTER SIMULATION; ECOSYSTEM; GENETICS; HIGH THROUGHPUT SEQUENCING; MICROBIAL CONSORTIUM; MICROBIAL GENOME; MICROBIOLOGICAL EXAMINATION; PROCEDURES; THEORETICAL MODEL; VIRUS; VIRUS GENOME;

COMPUTER SIMULATION; ECOSYSTEM; GENOME, MICROBIAL; GENOME, VIRAL; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; METAGENOMICS; MICROBIAL CONSORTIA; MICROBIOLOGICAL TECHNIQUES; MODELS, THEORETICAL; VIRUSES;

EID: 84945487023     PISSN: 1420682X     EISSN: 14209071     Source Type: Journal    
DOI: 10.1007/s00018-015-2004-1     Document Type: Review

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