Interpreting 16S metagenomic data without clustering to achieve sub-OTU resolution. - Wikidata - awgldk - TriplyDB

Interpreting 16S metagenomic data without clustering to achieve sub-OTU resolution.

Interpreting 16S metagenomic data without clustering to achieve sub-OTU resolution.

http://www.wikidata.org/entity/Q30835994

about

The same microbiota and a potentially discriminant metabolome in the saliva of omnivore, ovo-lacto-vegetarian and Vegan individuals Toward Accurate and Quantitative Comparative Metagenomics DADA2: High-resolution sample inference from Illumina amplicon data.Synthetic spike-in standards for high-throughput 16S rRNA gene amplicon sequencing.From Vineyard Soil to Wine Fermentation: Microbiome Approximations to Explain the "terroir" Concept.Dynamics of tongue microbial communities with single-nucleotide resolution using oligotyping.Diet-induced extinctions in the gut microbiota compound over generations.Characterization of the Gut Microbiome Using 16S or Shotgun Metagenomics A method for high precision sequencing of near full-length 16S rRNA genes on an Illumina MiSeq.Simplified and representative bacterial community of maize roots.Marine microbial community dynamics and their ecological interpretation.Diverse, rare microbial taxa responded to the Deepwater Horizon deep-sea hydrocarbon plume.Phylogenetic approaches to microbial community classification.A novel conceptual approach to read-filtering in high-throughput amplicon sequencing studies.Cave microbial community composition in oceanic islands: disentangling the effect of different colored mats in diversity patterns of Azorean lava caves.Millions of reads, thousands of taxa: microbial community structure and associations analyzed via marker genes.RiboTagger: fast and unbiased 16S/18S profiling using whole community shotgun metagenomic or metatranscriptome surveys.Phylogenetic factorization of compositional data yields lineage-level associations in microbiome datasets.Exact sequence variants should replace operational taxonomic units in marker-gene data analysis.Ecological dynamics and co-occurrence among marine phytoplankton, bacteria and myoviruses shows microdiversity matters.Emerging Technologies for Gut Microbiome Research.High-resolution characterization of the human microbiome.An introduction to microbiome analysis for human biology applications.Variation of Oxygenation Conditions on a Hydrocarbonoclastic Microbial Community Reveals Alcanivorax and Cycloclasticus Ecotypes Analysing Microbial Community Composition through Amplicon Sequencing: From Sampling to Hypothesis Testing.Ananke: temporal clustering reveals ecological dynamics of microbial communities.Variable habitat conditions drive species covariation in the human microbiota Editorial: New Insights into Microbial Ecology through Subtle Nucleotide Variation.Strain diversity and host specificity in a specialized gut symbiont of honeybees and bumblebees.Diazotroph community characterization via a high-throughput nifH amplicon sequencing and analysis pipeline.Comprehensive Molecular Characterization of Bacterial Communities in Feces of Pet Birds Using 16S Marker Sequencing.Experimental design and quantitative analysis of microbial community multiomics.The madness of microbiome: Attempting to find consensus "best practice" for 16S microbiome studies.Estimating intraspecific genetic diversity from community DNA metabarcoding data.Antimicrobial peptide expression in a wild tobacco plant reveals the limits of host-microbe-manipulations in the field.Genetic Variation of the SusC/SusD Homologs from a Polysaccharide Utilization Locus Underlies Divergent Fructan Specificities and Functional Adaptation in Bacteroides thetaiotaomicron Strains.Viable cyanobacteria in the deep continental subsurface Breast Cancer and Its Relationship with the Microbiota The Microbial Landscape of Sea Stars and the Anatomical and Interspecies Variability of Their Microbiome

P2860

Q24756952-37F23FCC-9C42-4AC0-BC2E-9EEFD0DCAFA5 Q28076421-E20211C9-4C3B-472B-A2B5-C49D952ECE0F Q31099919-49B35D78-6CAB-4B5D-A069-C1C2E4BDEC6C Q33557389-DF064DC5-1904-4728-82CA-98728B7DA073 Q33646265-081B2ACA-18FC-4094-A780-460730427251 Q34471437-0B9E620C-243F-45B0-BFD6-9A76554ED96A Q34508832-7F60ECE1-E9E1-4F0A-ABB7-E0216260E5DA Q34525149-47E9CBCB-79F7-4E42-ACDD-AA26FE1C0F35 Q34541600-57415A31-38A7-489B-9BF4-28CB63174CA1 Q34552972-65EA8311-5C06-40A2-98EB-F16243D5E134 Q35557317-8354E13A-7302-4752-A2CD-680F2F16066D Q35729470-99C9B7C5-4113-4EFD-8FF9-03936446D898 Q35799728-3C8F0DF4-5FFE-41F4-B534-666EA0DF0E65 Q35836839-66250B8E-CB24-4270-93E5-21796E2C6786 Q35840483-D898A07A-DCC6-48A4-8C1A-5E16698F6CEE Q36064477-EBFF0A9A-6D5E-4599-904F-2F5D0761F305 Q36268758-0B086905-3011-4546-8079-EF9E4D618D28 Q36306938-2BF2FA6B-1EF4-497D-9FDC-38568A977698 Q38668202-646C3855-B562-441F-985D-7E9CC3DB544E Q38842677-6CE62019-71A1-4CF5-9392-75198F2A01D2 Q38900127-72EF057F-F088-4AE1-827F-DD2F9939E0D5 Q38924657-7F16687A-4B3B-472D-AA30-F707B1B14658 Q38985902-9F2F159C-DBFB-4BEE-80D1-0A8C8C3458AD Q41454112-DB60F29C-301F-4EAE-8609-A19277220900 Q41474970-A68ABA41-CDAA-4329-BC8A-6D946C60FFFF Q41668292-FC819DFD-C393-4AAC-A8B1-88936C2919AF Q42290355-678A77D2-6DE2-43C8-B3B3-A5794133FC92 Q42338202-E8C269D3-18A0-48B1-AC86-42E3BF32067B Q42380773-5219BC47-318F-488C-AD08-9E261078794B Q46253316-FC8C9439-DAF1-4627-BE53-17DC12819A15 Q46496312-4B5EECAE-9166-462C-9FDF-A556E4B8F97D Q47168166-AC8182A6-676C-4FD5-96F0-57FDA661D164 Q50088075-A85713B2-EE21-4297-B88B-4A63B095023D Q52581763-7556B1EB-9D6B-4132-9CE2-45D90A222B3C Q55259878-24F55C17-A21F-4A6B-8A5A-9199AEFB6B6F Q55280400-53BEA92C-3C0A-4407-8B14-CC444DC0DABB Q57061971-CE548DF6-736E-48C7-89A0-AC54A414CF0E Q57107912-3754A5F2-4330-4C11-816F-12CE9A5AF161 Q58785797-255328FF-B8D9-4D2D-98A9-C213E3C4EB58

P2860

Interpreting 16S metagenomic data without clustering to achieve sub-OTU resolution.

http://www.wikidata.org/entity/Q30835994

description

2014 nî lūn-bûn

@nan

2014 թուականի Յուլիսին հրատարակուած գիտական յօդուած

@hyw

2014 թվականի հուլիսին հրատարակված գիտական հոդված

@hy

2014年の論文

@ja

2014年論文

@yue

2014年論文

@zh-hant

2014年論文

@zh-hk

2014年論文

@zh-mo

2014年論文

@zh-tw

2014年论文

@wuu

name

Interpreting 16S metagenomic data without clustering to achieve sub-OTU resolution.

@ast

Interpreting 16S metagenomic data without clustering to achieve sub-OTU resolution.

@en

type

label

Interpreting 16S metagenomic data without clustering to achieve sub-OTU resolution.

@ast

Interpreting 16S metagenomic data without clustering to achieve sub-OTU resolution.

@en

prefLabel

Interpreting 16S metagenomic data without clustering to achieve sub-OTU resolution.

@ast

Interpreting 16S metagenomic data without clustering to achieve sub-OTU resolution.

@en

P1433

Q30835994-D7E7DA32-14B8-4378-9420-2EECEAF8FF63

P1476

Q30835994-E333BC57-F37B-4E20-B30E-3AEC052B1EBD

P2093

Q30835994-9D4F35F9-38D9-471F-86A9-750CB2EE4A8F

Q30835994-9F7E2319-5122-4943-99CA-4E57751AF0F5

P2860

Q30835994-0D000B69-95F7-43BC-869D-384311E6822D

Q30835994-0E21141D-D305-4107-BE07-7845AF78DFCF

Q30835994-14237C9A-2F1E-476E-8D6B-3C7660E5DE3F

Q30835994-1E62D121-9E7B-48C1-AF54-949EECE77B7F

Q30835994-1EE4509E-A7FC-4161-8009-D4A10C782F84

Q30835994-20EB6F5B-DFB2-4BDE-BAA6-4C867C36659E

Q30835994-30829B80-2BF4-461B-BF72-B4398CF69713

Q30835994-3A5CA416-33F9-4B82-B328-A6A4203CC0EE

Q30835994-3C72B1BC-86BA-4D54-81D2-79ACBA175D79

Q30835994-469F53BF-75FF-4A55-A580-DC665C822517

P2888

Q30835994-8441D928-ED64-4F4F-8BB2-A155D6C52B44

P304

Q30835994-E2053DE9-6D1E-4A24-A3AF-1FB38E814D41

P31

Q30835994-69550E64-5DD7-4548-AC8E-437061652BAA

P356

Q30835994-D1592D7D-F509-4EEC-859E-2D3FFC17B613

P433

Q30835994-84262FE5-EB93-42A9-9971-8B00EA1754BE

P478

Q30835994-0F086701-7140-4898-AF7F-A427322BC6B7

P50

Q30835994-489A3CE4-DCAA-47B9-B979-8ED1501D4F94

P577

Q30835994-BD334FEC-8EE9-45C0-A188-A7566EDA1FE0

P5875

Q30835994-C4AF66A6-D8C2-4F4C-AC62-385A472C3BAB

P6179

Q30835994-17C41B4A-D2B5-40DA-84FF-CCEDD7FD80FC

P698

Q30835994-AC38D7C3-D7DE-4E07-BF1D-C1A50BA62D4E

P818

Q30835994-669D38D1-766A-4130-A984-BF58A1F9D30D

P932

Q30835994-40DAA5D2-43DE-4C68-9007-AE076B63BFBE

P356

P1433

The ISME Journal

P1476

Interpreting 16S metagenomic data without clustering to achieve sub-OTU resolution.

@en

P2093

Ned S Wingreen

http://www.w3.org/2001/XMLSchema#string

Robert W Leach

http://www.w3.org/2001/XMLSchema#string

P2860

Removing noise from pyrosequenced amplicons

Moving pictures of the human microbiome

Comparison of 61 sequenced Escherichia coli genomes

Structure, function and diversity of the healthy human microbiome

Introducing mothur: open-source, platform-independent, community-supported software for describing and comparing microbial communities

The application of ecological theory toward an understanding of the human microbiome

Control of pathogens and pathobionts by the gut microbiota

Bacterial community comparisons by taxonomy-supervised analysis independent of sequence alignment and clustering

Search and clustering orders of magnitude faster than BLAST

Bacterial community variation in human body habitats across space and time

P2888

P304

68-80

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1038/ISMEJ.2014.117

http://www.w3.org/2001/XMLSchema#string

P433

1

http://www.w3.org/2001/XMLSchema#string

P478

9

http://www.w3.org/2001/XMLSchema#string

P50

Mikhail Tikhonov

P577

2014-07-11T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P5875

263862320

http://www.w3.org/2001/XMLSchema#string

P6179

1012531530

http://www.w3.org/2001/XMLSchema#string

P698

25012900

http://www.w3.org/2001/XMLSchema#string

P818

1312.0570

http://www.w3.org/2001/XMLSchema#string

P932

4274427

http://www.w3.org/2001/XMLSchema#string