Athletic equipment microbiota are shaped by interactions with human skin. - Wikidata - awgldk - TriplyDB

Athletic equipment microbiota are shaped by interactions with human skin.

Athletic equipment microbiota are shaped by interactions with human skin.

http://www.wikidata.org/entity/Q35782057

about

The roles of the outdoors and occupants in contributing to a potential pan-microbiome of the built environment: a review The microbiome of the built environment and mental health Skin fungal community and its correlation with bacterial community of urban Chinese individuals Antimicrobial Chemicals Are Associated with Elevated Antibiotic Resistance Genes in the Indoor Dust Microbiome Bacterial colonization and succession in a newly opened hospital.Microbiota of the indoor environment: a meta-analysis.Microbial biogeography of a university campus.Relative and contextual contribution of different sources to the composition and abundance of indoor air bacteria in residences Microbiota formed on attached stainless steel coupons correlates with the natural biofilm of the sink surface in domestic kitchens Shaping of cutaneous function by encounters with commensals.Microbiota fingerprints lose individually identifying features over time.The Built Environment Is a Microbial Wasteland.Bacterial diversity among four healthcare-associated institutes in Taiwan.

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Athletic equipment microbiota are shaped by interactions with human skin.

http://www.wikidata.org/entity/Q35782057

description

2015 nî lūn-bûn

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2015年の論文

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2015年論文

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2015年論文

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2015年論文

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2015年論文

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2015年论文

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name

Athletic equipment microbiota are shaped by interactions with human skin.

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Athletic equipment microbiota are shaped by interactions with human skin.

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Athletic equipment microbiota are shaped by interactions with human skin.

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Athletic equipment microbiota are shaped by interactions with human skin.

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Athletic equipment microbiota are shaped by interactions with human skin.

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Athletic equipment microbiota are shaped by interactions with human skin.

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Athletic equipment microbiota are shaped by interactions with human skin.

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Jack A Gilbert

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

Jarrad T Hampton-Marcell

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

Mariah Wood

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

Sarah M Owens

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

Sean M Gibbons

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Simon Lax

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

Suzanne Kennedy

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Tifani W Eshoo-Anton

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P2860

QIIME allows analysis of high-throughput community sequencing data

Unlocking the potential of metagenomics through replicated experimental design

UniFrac: a new phylogenetic method for comparing microbial communities.

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

Ultra-high-throughput microbial community analysis on the Illumina HiSeq and MiSeq platforms

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

Studying the microbiology of the indoor environment.

Forensic identification using skin bacterial communities.

Using network analysis to explore co-occurrence patterns in soil microbial communities

Microbial biogeography of public restroom surfaces

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