Tracking down the sources of experimental contamination in microbiome studies. - Wikidata - awgldk - TriplyDB

Tracking down the sources of experimental contamination in microbiome studies.

Tracking down the sources of experimental contamination in microbiome studies.

http://www.wikidata.org/entity/Q35546871

about

Toward Accurate and Quantitative Comparative Metagenomics Optimizing methods and dodging pitfalls in microbiome research Impact of library preparation protocols and template quantity on the metagenomic reconstruction of a mock microbial community.Deriving accurate microbiota profiles from human samples with low bacterial content through post-sequencing processing of Illumina MiSeq data.SUPER-FOCUS: a tool for agile functional analysis of shotgun metagenomic data Research Techniques Made Simple: Bacterial 16S Ribosomal RNA Gene Sequencing in Cutaneous Research.Characterization of the Gut Microbiome Using 16S or Shotgun Metagenomics Decontamination of 16S rRNA gene amplicon sequence datasets based on bacterial load assessment by qPCR Composition, taxonomy and functional diversity of the oropharynx microbiome in individuals with schizophrenia and controls Authentication of Herbal Supplements Using Next-Generation Sequencing Comparison of placenta samples with contamination controls does not provide evidence for a distinct placenta microbiota A Microbiome DNA Enrichment Method for Next-Generation Sequencing Sample Preparation.The impact of freeze-drying infant fecal samples on measures of their bacterial community profiles and milk-derived oligosaccharide content.Intricacies of assessing the human microbiome in epidemiologic studies.Vitamin D and allergic airway disease shape the murine lung microbiome in a sex-specific manner.Don't put all your eggs in one basket: a cost-effective and powerful method to optimize primer choice for rRNA environmental community analyses using the Fluidigm Access Array.The microbiome of neotropical ticks parasitizing on passerine migratory birds.Metagenomic Analysis of Cerebrospinal Fluid from Patients with Multiple Sclerosis.A Cluster of Fatal Tick-borne Encephalitis Virus Infection in Organ Transplant Setting.Analysing Microbial Community Composition through Amplicon Sequencing: From Sampling to Hypothesis Testing.Upper and lower respiratory tract microbiota in horses: bacterial communities associated with health and mild asthma (inflammatory airway disease) and effects of dexamethasone Analysis of Bacterial and Fungal Nucleic Acid in Canine Sterile Granulomatous and Pyogranulomatous Dermatitis and Panniculitis.Comparison of Meconium DNA Extraction Methods for Use in Microbiome Studies.Viromic Analysis of Wastewater Input to a River Catchment Reveals a Diverse Assemblage of RNA Viruses.Correcting for batch effects in case-control microbiome studies.How low can we go? The implications of low bacterial load in respiratory microbiota studies.

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Tracking down the sources of experimental contamination in microbiome studies.

http://www.wikidata.org/entity/Q35546871

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2014 nî lūn-bûn

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2014 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած

@hyw

2014 թվականի դեկտեմբերին հրատարակված գիտական հոդված

@hy

2014年の論文

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2014年論文

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2014年論文

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2014年論文

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2014年論文

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2014年論文

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2014年论文

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name

Tracking down the sources of experimental contamination in microbiome studies.

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Tracking down the sources of experimental contamination in microbiome studies.

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Amnon Amir

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Embriette R Hyde

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Jessica L Metcalf

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Se Jin Song

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Sophie Weiss

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P2860

Reagent and laboratory contamination can critically impact sequence-based microbiome analyses

A longitudinal study of Streptococcus pneumoniae carriage in a cohort of infants and their mothers on the Thailand-Myanmar border

Metabolic syndrome and altered gut microbiota in mice lacking Toll-like receptor 5

Tackling the widespread and critical impact of batch effects in high-throughput data

Specific ribosomal DNA sequences from diverse environmental settings correlate with experimental contaminants.

Sampling and pyrosequencing methods for characterizing bacterial communities in the human gut using 16S sequence tags.

Evaluating bias of illumina-based bacterial 16S rRNA gene profiles.

Meta-analyses of studies of the human microbiota.

Effect of DNA extraction methods and sampling techniques on the apparent structure of cow and sheep rumen microbial communities.

Commensal microbiota and myelin autoantigen cooperate to trigger autoimmune demyelination.

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