16S rRNA gene high-throughput sequencing data mining of microbial diversity and interactions

Applied Microbiology and Biotechnology

Volumn 99, Issue 10, 2015, Pages 4119-4129

  Ju, Feng ^a   Zhang, Tong ^a  

^a UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

16S rRNA gene; Bioinformatics and statistics; Biotechnology; Microbiology; Network analysis; Next generation sequencing

Indexed keywords

BIOINFORMATICS; BIOREMEDIATION; BIOTECHNOLOGY; DATA MINING; DISINFECTION; DNA SEQUENCES; ELECTRIC NETWORK ANALYSIS; METADATA; MICROBIOLOGY; MICROORGANISMS; NUCLEIC ACIDS; POTABLE WATER; RNA; THROUGHPUT; WASTEWATER TREATMENT;

16S RRNA GENE; BIOTECHNOLOGICAL PROCESS; DESIGN AND OPTIMIZATION; DRINKING WATER DISINFECTION; ENVIRONMENTAL BIOTECHNOLOGY; HIGH-THROUGHPUT SEQUENCING; NEXT-GENERATION SEQUENCING; PATHOGENIC MICROORGANISMS;

GENE ENCODING;

BACTERIAL DNA; RNA 16S;

BACTERIAL PHENOMENA AND FUNCTIONS; BACTERIUM; BIODIVERSITY; CLASSIFICATION; DATA MINING; DNA SEQUENCE; GENETICS; HIGH THROUGHPUT SEQUENCING; HUMAN; ISOLATION AND PURIFICATION; PROCEDURES;

BACTERIA; BACTERIAL PHYSIOLOGICAL PHENOMENA; BIODIVERSITY; DATA MINING; DNA, BACTERIAL; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; HUMANS; RNA, RIBOSOMAL, 16S; SEQUENCE ANALYSIS, DNA;

EID: 84940005464     PISSN: 01757598     EISSN: 14320614     Source Type: Journal    
DOI: 10.1007/s00253-015-6536-y     Document Type: Review

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