Stochastic neutral modelling of the Gut Microbiota's relative species abundance from next generation sequencing data

BMC Bioinformatics

Volumn 17, Issue 2, 2016, Pages

  Sala, Claudia ^a   Vitali, Silvia ^a   Giampieri, Enrico ^a   do Valle, Ìtalo Faria ^a,b   Remondini, Daniel ^a   Garagnani, Paolo ^a   Bersanelli, Matteo ^c   Mosca, Ettore ^c   Milanesi, Luciano ^c   Castellani, Gastone ^a  

^a UNIVERSITY OF BOLOGNA   (Italy)

^b MINISTRY OF EDUCATION OF BRAZIL   (Brazil)

^c CNR   (Italy)

Author keywords

16S RNA; Biodiversity; Ecological modelling; Microbiota; OTU; RSA

Indexed keywords

ANIMALS; BIODIVERSITY; CLUSTER ANALYSIS; ECOSYSTEMS; RNA; STOCHASTIC SYSTEMS;

16S RRNA SEQUENCING; CLUSTERING PROCEDURE; ECOLOGICAL MODELLING; FUTURE APPLICATIONS; MICROBIOTAS; NEXT-GENERATION SEQUENCING; OPERATIONAL TAXONOMIC UNITS; SIMILARITY THRESHOLD;

STOCHASTIC MODELS;

BACTERIAL RNA; RNA 16S;

ANIMAL; BACTERIUM; BIODIVERSITY; BOVINE; CHICKEN; CLASSIFICATION; GENETICS; HIGH THROUGHPUT SEQUENCING; HUMAN; INTESTINE FLORA; ISOLATION AND PURIFICATION; MICROBIOLOGY; PHYLOGENY; PIG; SEQUENCE ANALYSIS;

ANIMALS; BACTERIA; BIODIVERSITY; CATTLE; CHICKENS; GASTROINTESTINAL MICROBIOME; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; HUMANS; PHYLOGENY; RNA, BACTERIAL; RNA, RIBOSOMAL, 16S; SEQUENCE ANALYSIS, RNA; SUS SCROFA;

EID: 84954455958     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/s12859-015-0858-8     Document Type: Article

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