Using QIIME to analyze 16S rRNA gene sequences from microbial communities. - Wikidata - awgldk - TriplyDB

Using QIIME to analyze 16S rRNA gene sequences from microbial communities.

Using QIIME to analyze 16S rRNA gene sequences from microbial communities.

http://www.wikidata.org/entity/Q34097245

about

Diverse microbiota identified in whole intact nest chambers of the red mason bee Osmia bicornis (Linnaeus 1758)Considerations For Optimizing Microbiome Analysis Using a Marker Gene H2-saturation of high affinity H2-oxidizing bacteria alters the ecological niche of soil microorganisms unevenly among taxonomic groups.The Effects of Bowel Preparation on Microbiota-Related Metrics Differ in Health and in Inflammatory Bowel Disease and for the Mucosal and Luminal Microbiota Compartments Pathogens and host immunity in the ancient human oral cavity Brood ball-mediated transmission of microbiome members in the dung beetle, Onthophagus taurus (Coleoptera: Scarabaeidae)Metagenome survey of a multispecies and alga-associated biofilm revealed key elements of bacterial-algal interactions in photobioreactors Archaea and Bacteria Acclimate to High Total Ammonia in a Methanogenic Reactor Treating Swine Waste Lactobacillus plantarum attenuates anxiety-related behavior and protects against stress-induced dysbiosis in adult zebrafish.Chemotaxis by natural populations of coral reef bacteria.MetAmp: combining amplicon data from multiple markers for OTU analysis Metagenomics: tools and insights for analyzing next-generation sequencing data derived from biodiversity studies.Increased seawater temperature increases the abundance and alters the structure of natural Vibrio populations associated with the coral Pocillopora damicornis Spatiotemporal Dynamics of Vibrio spp. within the Sydney Harbour Estuary Diversity of the vaginal microbiome correlates with preterm birth.Multitaxon activity profiling reveals differential microbial response to reduced seawater pH and oil pollution.Genomics pipelines and data integration: challenges and opportunities in the research setting.Differing Complex Microbiota Alter Disease Severity of the IL-10-/- Mouse Model of Inflammatory Bowel Disease.Characterization of the urinary microbiome in healthy dogs.Recovery of the gut microbiome following fecal microbiota transplantation.Insights into study design and statistical analyses in translational microbiome studies High frequency of intestinal TH17 cells correlates with microbiota alterations and disease activity in multiple sclerosis.Intestinal dysbiosis and bacterial enteroinvasion in a murine model of Hirschsprung's disease.Pyrosequencing reveals diverse fecal microbiota in Simmental calves during early development.Metagenomic analyses of alcohol induced pathogenic alterations in the intestinal microbiome and the effect of Lactobacillus rhamnosus GG treatment.An in vitro culture model to study the dynamics of colonic microbiota in Syrian golden hamsters and their susceptibility to infection with Clostridium difficile Effects of vendor and genetic background on the composition of the fecal microbiota of inbred mice Environmental arsenic exposure and microbiota in induced sputum.Comparison of methods for fecal microbiome biospecimen collection.Molecular ecological tools to decipher the role of our microbial mass in obesity.Getting started with microbiome analysis: sample acquisition to bioinformatics Sex, body mass index, and dietary fiber intake influence the human gut microbiome.Patterns of gut bacterial colonization in three primate species.Alteration of the rat cecal microbiome during colonization with the helminth Hymenolepis diminuta.The Presence of Oxalobacter formigenes in the Microbiome of Healthy Young Adults Urease and Dental Plaque Microbial Profiles in Children.Microbiomes of the dust particles collected from the International Space Station and Spacecraft Assembly Facilities The genetic architecture of NAFLD among inbred strains of mice Comparative Evaluation of DNA Extraction Methods from Feces of Multiple Host Species for Downstream Next-Generation Sequencing.Development of an Analysis Pipeline Characterizing Multiple Hypervariable Regions of 16S rRNA Using Mock Samples.

P2860

Q21132459-777E7041-6899-47A3-9052-DE80380169DD Q26739715-2B79FD3E-ABB9-4721-83DD-791F5958C6DC Q27300184-4B0E4FA8-4C27-471C-995A-667A8FD9C369 Q27325522-81B46CD1-B3E6-46B0-8AFC-ADE482E88CE6 Q28660564-EFE62091-B150-43B1-B0B1-CFB1AF6BB56F Q28661889-E9606559-5672-4E11-9EB8-9A5803C17561 Q28662044-1AAE990B-5B7E-44CC-86A2-C5D27ACB4464 Q28822582-6180C76E-6C50-4A45-ADCB-C277BD524A5C Q30812591-86ADB385-D6D1-41F1-9D94-C09BD8E1904C Q30885733-59F4297A-AE22-4017-88CE-0F29E6BDC411 Q30886501-014237E8-8117-4E47-9526-35DEF8874838 Q30953199-7EF42265-8255-4221-88C5-90DAD142A7FE Q30965139-72641ECC-4DFF-465E-91A0-207B8BE5D9B4 Q31090917-C98ECE6B-90DE-4214-AA83-7CA93DAC8AF5 Q31118332-28BFC76C-0404-46D4-858D-5F172DE29962 Q31118974-EA2AA4F1-AF3A-48A4-8F09-E344071C3E73 Q31154892-5EE62F5F-DFEF-4C9A-8CFA-825ECB892212 Q33658943-1FAA6118-0EA1-4731-BF35-813529A14FD0 Q33699294-682477FA-F4D8-4057-8AC6-FCC309F079DF Q33797312-9EF356FB-6FDE-4D3D-AF32-92B7D9EE61C6 Q33871520-B4D22E8C-E3C7-4262-AF6D-5A0F1123C6EC Q33898849-8184080B-7EBF-40D0-B476-7F89E44D5A34 Q34007118-421BCC5E-8F0B-4A4D-85BB-5FCA96F7702F Q34521799-07A3E5DE-D008-438D-B1EF-F0F197FD8E10 Q34551121-5D62AA73-73D2-47E1-A858-EBAAAE47E61D Q35002637-9EA1CF79-A97E-44D3-BC97-031686A9AFD2 Q35078945-64702EE1-3B8B-4BD7-BA24-160178C3B80B Q35102337-D3D631E2-535B-42C3-8BF1-36FE25EA6EC6 Q35155662-C4A984BE-C1DD-47DF-AF4D-E075BC230B3D Q35182493-85B0C140-63B1-419E-A5BB-DA6FE9340D6B Q35209720-1109AF9A-A027-4A3A-B75D-3EBF00511513 Q35432241-7037539D-ACB2-47ED-8C72-527FCE3F8188 Q35602970-86B7C843-CA7E-4140-A24C-C0C7A3B75DB4 Q35622395-93CB7777-2C3D-4BAA-B032-7D32E5A3EF76 Q35751434-27D7B889-76D3-4D68-BC75-118DC1A83C5A Q35791716-B1D7FC1B-C3B2-4D42-8C67-29370D5FABAF Q35821590-73180DCB-295B-468B-9178-5542C7BE0931 Q35825098-2AEBEC11-D870-42EA-A708-E0E4056EF10D Q35850269-3B3BC5FA-BE4A-4069-B7D3-90754F849E67 Q35909932-5C79A985-90E9-40DE-A3E9-3A0753ED7EB4

P2860

Using QIIME to analyze 16S rRNA gene sequences from microbial communities.

http://www.wikidata.org/entity/Q34097245

description

2011 nî lūn-bûn

@nan

2011 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած

@hyw

2011 թվականի դեկտեմբերին հրատարակված գիտական հոդված

@hy

2011年の論文

@ja

2011年論文

@yue

2011年論文

@zh-hant

2011年論文

@zh-hk

2011年論文

@zh-mo

2011年論文

@zh-tw

2011年论文

@wuu

name

Using QIIME to analyze 16S rRNA gene sequences from microbial communities.

@ast

Using QIIME to analyze 16S rRNA gene sequences from microbial communities.

@en

Using QIIME to analyze 16S rRNA gene sequences from microbial communities.

@nl

type

label

Using QIIME to analyze 16S rRNA gene sequences from microbial communities.

@ast

Using QIIME to analyze 16S rRNA gene sequences from microbial communities.

@en

Using QIIME to analyze 16S rRNA gene sequences from microbial communities.

@nl

prefLabel

Using QIIME to analyze 16S rRNA gene sequences from microbial communities.

@ast

Using QIIME to analyze 16S rRNA gene sequences from microbial communities.

@en

Using QIIME to analyze 16S rRNA gene sequences from microbial communities.

@nl

P1433

Q34097245-9F85F831-A9B4-41C8-B28F-E36CF5E36CE4

P1476

Q34097245-1CB2ECD1-6211-4AA4-B64F-521DDE29F19E

P2093

Q34097245-1349FB08-6FDC-4A5F-B4E7-DA10F644EEAA

Q34097245-31E5A929-AE61-485D-A74A-5A3C4D4D6265

Q34097245-4BEE8DD2-780C-4AE3-B698-5C0F7943775E

Q34097245-BA472D03-3268-4A33-946E-4263A825CC8B

Q34097245-E0AF9B25-A673-48BF-803A-485340866293

P2860

Q34097245-10ED957C-491D-4C14-BCE6-D149D0FEDD77

Q34097245-1134B374-C882-4FCC-815E-01C5F01DB944

Q34097245-227F4DD1-6F5B-417B-8036-100AFE21A241

Q34097245-37AB746D-50BB-43D3-9DD6-D991B25BA926

Q34097245-3A857C1F-7D79-4C89-A4B6-7B56BD36B45C

Q34097245-518A2983-3EB0-40C8-AB4C-1D785F234CF5

Q34097245-6421D454-6520-4708-859C-9CDD22CAB18E

Q34097245-7E5233F9-3471-4353-82AF-F7D4754967B1

Q34097245-A4493AAF-C9D0-4F8E-B4BE-8AE12973E42C

Q34097245-A845D8DE-E9A3-40C5-8418-6EC37FC3F822

P304

Q34097245-FD1E9DDB-C2F7-4B1E-AFB6-92041E68F6C6

P31

Q34097245-984D639B-57A7-4BFA-BD48-B87DC5605F3E

P356

Q34097245-838FD148-0D59-4ED0-8743-40ED7AB949EC

P478

Q34097245-4874E154-A440-44D8-99F1-E008132CA693

P50

Q34097245-0F456B43-6789-4085-9DAD-C1570CB110C2

P577

Q34097245-7DAE7EAF-6B27-4B15-8440-10650B90BBEC

P5875

Q34097245-6D733011-B2E1-485B-B3B0-D424AE6BC044

P698

Q34097245-E13C74F8-8B1C-495B-BF54-A65080DC2E63

P932

Q34097245-59AA6765-32F6-46F1-BBBD-083CED984893

P356

0471250953.BI1007S36

P1433

Current Protocols in Bioinformatics

P1476

Using QIIME to analyze 16S rRNA gene sequences from microbial communities.

@en

P2093

Antonio González

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

J Gregory Caporaso

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

Jesse Stombaugh

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

Justin Kuczynski

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

William Anton Walters

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

P2860

MUSCLE: a multiple sequence alignment method with reduced time and space complexity

Enterotypes of the human gut microbiome

A large genome center's improvements to the Illumina sequencing system.

FastTree 2--approximately maximum-likelihood trees for large alignments

Naive Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy

Global patterns of 16S rRNA diversity at a depth of millions of sequences per sample.

PyNAST: a flexible tool for aligning sequences to a template alignment

Regulation of myocardial ketone body metabolism by the gut microbiota during nutrient deprivation

New Generations: Sequencing Machines and Their Computational Challenges.

Enterotypes of the human gut microbiome

P304

Unit 10.7.

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

P31

scholarly article

P356

10.1002/0471250953.BI1007S36

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

P478

Chapter 10

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

P50

P577

2011-12-01T00:00:00Z

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

P5875

51871210

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

P698

22161565

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

P932

3249058

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