Meta-analysis of gut microbiome studies identifies disease-specific and shared responses.
about
Human Microbiome Acquisition and Bioinformatic Challenges in Metagenomic Studies.Meta-analysis generates and prioritizes hypotheses for translational microbiome research.Does the microbiome and virome contribute to myalgic encephalomyelitis/chronic fatigue syndrome?Exploring Linkages between Taxonomic and Functional Profiles of the Human Microbiome.Correcting for batch effects in case-control microbiome studies.Benchmarking taxonomic assignments based on 16S rRNA gene profiling of the microbiota from commonly sampled environments.MicroPheno: predicting environments and host phenotypes from 16S rRNA gene sequencing using a k-mer based representation of shallow sub-samples.The influence of in vitro pectin fermentation on the human fecal microbiome.Defining the gut microbiota in individuals with periodontal diseases: an exploratory study.Predictability and persistence of prebiotic dietary supplementation in a healthy human cohortCharacterizing the Human Mycobiota: A Comparison of Small Subunit rRNA, ITS1, ITS2, and Large Subunit rRNA Genomic TargetsGut microbiota associations with common diseases and prescription medications in a population-based cohortMicrobiome and Blood Analyte Differences Point to Community and Metabolic Signatures in Lean and Obese HorsesMeta-analysis of effects of exclusive breastfeeding on infant gut microbiota across populationsDrivers of Microbiome Biodiversity: A Review of General Rules, Feces, and IgnoranceGut Microbial and Metabolic Responses to Salmonella enterica Serovar Typhimurium and Candida albicansAssociation of metformin administration with gut microbiome dysbiosis in healthy volunteersMucosal microbiota of intestinal polyps reveals putative biomarkers of colorectal cancer
P2860
Q48043102-E72E29A6-A39E-40E9-96C7-C73CD24EC160Q49930902-5D7DF145-A098-4CEA-9221-B15ED48CC1F6Q54258759-1A8BDA50-3C6B-44A5-81E6-1649F6305A43Q54942997-5D3C4BD1-88BA-42C6-833A-BA79B040718DQ54950273-BD594E28-E1D2-48FE-AA2B-0F89980D69E4Q54965980-E8C600C8-D081-4B23-BA43-76712C116E12Q55432393-92E734C2-9918-4730-8C58-E56F7B0617F5Q55433816-ADE735FB-E3A1-4C19-B8AE-3E8AC7457AE5Q55496600-88C4AB23-1AB7-4F34-93A0-BFA5AA93AB00Q56535701-B30BD908-84A4-4C9F-8EC2-43D8C2D2A90FQ57072800-A6963B53-7BBE-4978-8434-7C471CC00BF6Q57176780-4C750AB0-7E15-4A70-B059-6F3D34B49568Q57191857-A8112742-9581-43E1-B111-04962C6E9468Q57291561-B72E207F-97AA-4BFF-A6D2-BBD60D8DE63EQ57922438-3F259085-A252-42EC-865E-90450E255F29Q58607978-C48EF732-10B6-421E-A9C1-19BC81C397FBQ58691643-9E1E3753-A926-4519-89FD-6A165E5F332CQ58726363-2C116892-0660-4B06-8576-39DDD2880DA4
P2860
Meta-analysis of gut microbiome studies identifies disease-specific and shared responses.
description
2017 nî lūn-bûn
@nan
2017年の論文
@ja
2017年学术文章
@wuu
2017年学术文章
@zh-cn
2017年学术文章
@zh-hans
2017年学术文章
@zh-my
2017年学术文章
@zh-sg
2017年學術文章
@yue
2017年學術文章
@zh
2017年學術文章
@zh-hant
name
Meta-analysis of gut microbiome studies identifies disease-specific and shared responses.
@en
Meta-analysis of gut microbiome studies identifies disease-specific and shared responses.
@nl
type
label
Meta-analysis of gut microbiome studies identifies disease-specific and shared responses.
@en
Meta-analysis of gut microbiome studies identifies disease-specific and shared responses.
@nl
prefLabel
Meta-analysis of gut microbiome studies identifies disease-specific and shared responses.
@en
Meta-analysis of gut microbiome studies identifies disease-specific and shared responses.
@nl
P2093
P2860
P1476
Meta-analysis of gut microbiome studies identifies disease-specific and shared responses.
@en
P2093
Claire Duvallet
Eric J Alm
Rafael A Irizarry
Thomas Gurry
P2860
P2888
P356
10.1038/S41467-017-01973-8
P407
P577
2017-12-05T00:00:00Z