Inference of phenotype-defining functional modules of protein families for microbial plant biomass degraders

Biotechnology for Biofuels

Volumn 7, Issue 1, 2014, Pages

  Konietzny, Sebastian G A ^a,c   Pope, Phillip B ^b   Weimann, Aaron ^c   McHardy, Alice C ^a,c  

^a MAX PLANCK INSTITUTE FOR INFORMATICS   (Germany)

^b NORWEGIAN UNIVERSITY OF LIFE SCIENCES   (Norway)

^c HEINRICH HEINE UNIVERSITY   (Germany)

Author keywords

(Ligno)cellulose degradation; Feature ranking; Gene clusters; Latent Dirichlet allocation; LDA; Pectin degradation; Phenotype based identification of functional modules; Plant biomass degradation; Polysaccharide utilization loci; Probabilistic topic models

Indexed keywords

CELLULOSE DEGRADATION; FEATURE RANKING; FUNCTIONAL MODULES; GENE CLUSTERS; LATENT DIRICHLET ALLOCATION; LDA; PLANT BIOMASS; PROBABILISTIC TOPIC MODELS;

BIOMASS; CELLULOSE; ENZYME; GENE EXPRESSION; MICROBIAL ACTIVITY; MICROBIAL COMMUNITY; MICROORGANISM; PHENOTYPE; POLYSACCHARIDE; PROBABILITY; PROTEIN;

EID: 84907689054     PISSN: 17546834     EISSN: None     Source Type: Journal    
DOI: 10.1186/s13068-014-0124-8     Document Type: Article

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