Computational methods for high-throughput comparative analyses of natural microbial communities

Methods in Enzymology

Volumn 531, Issue , 2013, Pages 353-370

  Preheim, Sarah P ^a   Perrotta, Allison R ^a   Friedman, Jonathan ^a,b   Smilie, Chris ^a   Brito, Ilana ^a   Smith, Mark B ^b   Alm, Eric ^a  

^a USA   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

16S ribosomal; distance metric correlation analysis; diversity estimates community; RNA survey operational; taxonomic units

Indexed keywords

RIBOSOME RNA; RNA 16S;

ARTICLE; ARTIFACT; COMPARATIVE STUDY; HIGH THROUGHPUT SEQUENCING; METAGENOMICS; MICROBIAL COMMUNITY; NONHUMAN; NUTRIENT CYCLING; PRIORITY JOURNAL;

PROKARYOTA;

16S RIBOSOMAL RNA SURVEY; COMMUNITY DISTANCE METRIC; CORRELATION ANALYSIS; DIVERSITY ESTIMATES; OPERATIONAL TAXONOMIC UNITS;

CLASSIFICATION; COMPUTATIONAL BIOLOGY; GENETIC VARIATION; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; HUMANS; METAGENOMICS; MICROBIAL CONSORTIA; PHYLOGENY; RNA, RIBOSOMAL, 16S; SEQUENCE ANALYSIS, DNA;

EID: 84884568058     PISSN: 00766879     EISSN: 15577988     Source Type: Book Series    
DOI: 10.1016/B978-0-12-407863-5.00018-6     Document Type: Chapter

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