Guided evolution of in silico microbial populations in complex environments accelerates evolutionary rates through a step-wise adaptation

BMC Bioinformatics

Volumn 13, Issue , 2012, Pages

  Mozhayskiy, Vadim ^a   Tagkopoulos, Ilias ^a  

^a International Symposium on Bioinformatics Research and Applications (ISBRA'11)   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CELL CULTURE; CELL PROLIFERATION; COMPLEX NETWORKS; CYTOLOGY; GENE TRANSFER; INFORMATION THEORY; MEDICAL APPLICATIONS; MICROORGANISMS;

ENVIRONMENTAL COMPLEXITY; ENVIRONMENTAL CORRELATIONS; ENVIRONMENTAL VARIATIONS; HORIZONTAL GENE TRANSFER; INFORMATION-THEORETIC METRICS; MULTIVARIATE MUTUAL INFORMATION; SEQUENTIAL COMBINATION; SPATIO-TEMPORAL DYNAMICS;

BIOLOGY;

CELL POPULATION; DECELERATION; EVOLUTIONARY RATE; HORIZONTAL GENE TRANSFER; NEIGHBORHOOD; QUANTITATIVE STUDY; SIMULATION; THEORETICAL MODEL; ADAPTATION; ARTICLE; BACTERIUM; COMPUTER SIMULATION; DIRECTED MOLECULAR EVOLUTION; ENVIRONMENT; EVOLUTION; GENETICS; MUTATION; PHENOTYPE; REPRODUCTIVE FITNESS;

ADAPTATION, PHYSIOLOGICAL; BACTERIA; BIOLOGICAL EVOLUTION; COMPUTER SIMULATION; DIRECTED MOLECULAR EVOLUTION; ENVIRONMENT; GENE TRANSFER, HORIZONTAL; GENETIC FITNESS; MUTATION; PHENOTYPE;

MLCS; MLOWN;

EID: 84873308222     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-13-s10-s10     Document Type: Article

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