Estimating the success of enzyme bioprospecting through metagenomics: Current status and future trends

Microbial Biotechnology

Volumn 9, Issue 1, 2016, Pages 22-34

  Ferrer, Manuel ^a   Martínez Martínez, Mónica ^a   Bargiela, Rafael ^a   Streit, Wolfgang R ^b   Golyshina, Olga V ^c   Golyshin, Peter N ^c  

^a CSIC   (Spain)

^b UNIVERSITY OF HAMBURG   (Germany)

^c BANGOR UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

1 NAPHTHYL ACETATE; AMIDASE; ESTERASE; GLYCOSIDASE; KETOPROFEN; OLIVE OIL; OXIDOREDUCTASE; PHENOL; PHOSPHATASE; POLYETHYLENE TEREPHTHALATE; PROTEINASE; RHODAMINE B; TRIACYLGLYCEROL LIPASE; TRIBUTYRIN; TRIOCTANOIN; TRIOLEIN; ENZYME;

BACTERIAL GENOME; BIOCATALYST; BIOINFORMATICS; BIOPROSPECTING; BIOTECHNOLOGICAL PRODUCTION; CLONE; COST; DATA MINING; ENZYME ACTIVITY; ENZYME BIOPROSPECTING; ENZYME SUBSTRATE; ENZYME SYNTHESIS; FUNGAL GENOME; GENE IDENTIFICATION; HIGH THROUGHPUT SEQUENCING; METAGENOMICS; NEXT GENERATION SEQUENCING; NONHUMAN; PROCESS DEVELOPMENT; PROCESS OPTIMIZATION; PYROSEQUENCING; SHORT SURVEY; BACTERIUM; CHEMISTRY; ENZYMOLOGY; GENETICS; METABOLISM; PROCEDURES; TRENDS;

BACTERIA; BIOPROSPECTING; ENZYMES; METAGENOMICS;

EID: 84953361752     PISSN: 17517907     EISSN: 17517915     Source Type: Journal    
DOI: 10.1111/1751-7915.12309     Document Type: Short Survey

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