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The Yale journal of biology & medicine, ISSN 0044-0086, 09/2016, Volume 89, Issue 3, pp. 275 - 276
Journal Article
Cell host & microbe, ISSN 1931-3128, 2018, Volume 24, Issue 1, pp. 133 - 145.e5
Journal Article
Science translational medicine, ISSN 1946-6234, 12/2019, Volume 11, Issue 522, p. eaaz9765
Alterations in gut microbiome composition and function predict those who respond favorably to exercise in metabolic control. 
Microbiomes
Journal Article
2019, ISBN 9780128152492, 506
'Microbiome and Metabolome in Diagnosis, Therapy, and Other Strategic Applications' simultaneously covers the microbiome and the metabolome in relevant... 
Microorganisms | Microorganisms-Therapeutic use
eBook
Nature reviews. Gastroenterology & hepatology, ISSN 1759-5053, 2019, Volume 16, Issue 7, pp. 448 - 448
An amendment to this paper has been published and can be accessed via a link at the top of the paper. 
Microbiomes
Journal Article
BMC microbiology, ISSN 1471-2180, 2017, Volume 17, Issue 1, pp. 194 - 16
Background: Advancements in Next Generation Sequencing (NGS) technologies regarding throughput, read length and accuracy had a major impact on microbiome... 
Bioinformatics pipeline | NGS bias | 16S rRNA amplicon sequencing - microbiome analysis - microbiome - microbiome composition - next generation sequencing platforms | BACTERIA | OLIGOSACCHARIDES | BIAS | next generation sequencing platforms | PROBIOTICS | MICROBIOLOGY | ILLUMINA | microbiome analysis | microbiome | IMPACT | microbiome composition | TECHNOLOGIES | 16S rRNA amplicon sequencing | Multivariate Analysis | Computational Biology - methods | Reproducibility of Results | DNA, Bacterial - isolation & purification | Gene Library | Computational Biology - instrumentation | Chickens - microbiology | Statistics as Topic | Cecum - microbiology | Phylogeny | Biodiversity | Gastrointestinal Microbiome - genetics | Bacteria - genetics | Animals | DNA, Bacterial - genetics | Analysis of Variance | Base Sequence | Bacteria - classification | RNA, Ribosomal, 16S - genetics | DNA, Bacterial - analysis | Microbial Consortia - genetics | High-Throughput Nucleotide Sequencing - instrumentation | High-Throughput Nucleotide Sequencing - methods | RNA sequencing | Genetic aspects | Comparative analysis | Microbial colonies | Performance evaluation | rRNA 16S | Laboratories | Pipelines | Picking | Genomics | Bias | Genomes | Species diversity | Taxa | Biological effects | Microorganisms | Bioinformatics | Deoxyribonucleic acid--DNA | Platforms | Data analysis | Filtration | Cecum | Data processing | Abundance | Prebiotics | Studies | Reproducibility | Relative abundance | Quality control | Genetic testing | Methods
Journal Article
Nature (London), ISSN 1476-4687, 2018, Volume 562, Issue 7728, pp. 583 - 588
The development of the microbiome from infancy to childhood is dependent on a range of factors, with microbial-immune crosstalk during this time thought to be... 
INTESTINAL MICROBIOTA | KYOTO ENCYCLOPEDIA | MULTIDISCIPLINARY SCIENCES | ENVIRONMENTAL DETERMINANTS | DISEASE | RISK | QUALITY-CONTROL | INFANT | ESTABLISHMENT | BREAST-MILK | EXPOSURE | Humans | Child, Preschool | Firmicutes - genetics | Infant | Male | Gastrointestinal Microbiome - physiology | Bifidobacterium - isolation & purification | Case-Control Studies | Time Factors | Diabetes Mellitus, Type 1 - microbiology | Female | Surveys and Questionnaires | Diabetes Mellitus, Type 1 - immunology | Child | Siblings | Datasets as Topic | Firmicutes - isolation & purification | Bifidobacterium - classification | Bifidobacterium - genetics | Firmicutes - classification | Breast Feeding - statistics & numerical data | Gastrointestinal Microbiome - genetics | Pets | Animals | Adolescent | RNA, Ribosomal, 16S - genetics | Gastrointestinal Microbiome - immunology | Milk, Human - immunology | Milk, Human - microbiology | Cluster Analysis | Medical research | Microbiota (Symbiotic organisms) | Environmental aspects | Medicine, Experimental | Development and progression | Research | Diabetes | Children | Health aspects | rRNA 16S | Breastfeeding & lactation | Taxonomy | Crosstalk | Microbiomes | Families & family life | Infants | Diabetes mellitus (insulin dependent) | Birth | Phase transitions | Gene sequencing | Microorganisms | Microbiota | Age | Geographical distribution | Maturation | Diabetes mellitus | Environmental factors | Breast feeding | Metabolism | Multiculturalism & pluralism | Asthma | Babies | Antibiotics | Autoimmune diseases | Breast milk | Structure-function relationships | Basic Medicine | Medical and Health Sciences | Microbiology in the medical area | Mikrobiologi inom det medicinska området | Medicin och hälsovetenskap | Medicinska och farmaceutiska grundvetenskaper
Journal Article
Journal of experimental botany, ISSN 1460-2431, 2016, Volume 67, Issue 4, pp. 995 - 1002
The importance of microbial root inhabitants for plant growth and health was recognized as early as 100 years ago. Recent insights reveal a close symbiotic... 
plant-microbe interaction | phyllosphere | holobiont | Endosphere | microbiome | rhizosphere | SOIL MICROBIOMES | BACTERIA | PLANT SCIENCES | ENDOPHYTES | ECOLOGY | RHIZOSPHERE MICROBIOME | DIVERSITY | ARABIDOPSIS | SELECTION | ROOT MICROBIOME | LIFE | Botany - trends | Plants - microbiology | Microbiota
Journal Article
Nature (London), ISSN 1476-4687, 2018, Volume 562, Issue 7728, pp. 589 - 594
Type 1 diabetes (T1D) is an autoimmune disease that targets pancreatic islet beta cells and incorporates genetic and environmental factors(1), including... 
RISK-FACTORS | INTESTINAL MICROBIOTA | AUTOIMMUNITY | YOUNG TEDDY | MULTIDISCIPLINARY SCIENCES | ENVIRONMENTAL DETERMINANTS | SEQUENCE | DYNAMICS | ASSOCIATION | CONTRIBUTES | CHILDREN | Diabetes Mellitus, Type 1 - epidemiology | Fatty Acids, Volatile - pharmacology | Diabetes Mellitus, Type 1 - prevention & control | Humans | Breast Feeding | Child, Preschool | Infant | Male | Gastrointestinal Microbiome - physiology | Bifidobacterium - isolation & purification | Proteobacteria - genetics | Feces - microbiology | Diabetes Mellitus, Type 1 - microbiology | Female | Disease Models, Animal | Bifidobacterium - genetics | Diabetes Mellitus, Type 1 - genetics | Islets of Langerhans - immunology | European Continental Ancestry Group | Gastrointestinal Microbiome - genetics | Animals | Health Surveys | Proteobacteria - isolation & purification | Age of Onset | Bifidobacterium - enzymology | Mice | Gastrointestinal Microbiome - immunology | Milk, Human - immunology | Milk, Human - microbiology | Longitudinal Studies | Proteobacteria - enzymology | Genetic aspects | Research | Diabetes | Microbiota (Symbiotic organisms) | Diabetes in children | Taxonomy | Genes | Microbiomes | Chains | Infants | Genomes | Diabetes mellitus (insulin dependent) | Biosynthesis | Microorganisms | Microbiota | Children | Pancreas | Bioinformatics | Age | Diabetes mellitus | Environmental factors | Oligosaccharides | Metabolism | Fermentation | Fatty acids | Variance analysis | Beta cells | Studies | Babies | Probiotics | Antibiotics | Islets of Langerhans | Breast milk | Basic Medicine | Clinical Medicine | Medical and Health Sciences | Microbiology in the medical area | Endokrinologi och diabetes | Medicin och hälsovetenskap | Medicinska och farmaceutiska grundvetenskaper | Mikrobiologi inom det medicinska området | Klinisk medicin | Endocrinology and Diabetes
Journal Article
Proceedings of the National Academy of Sciences - PNAS, ISSN 0027-8424, 2018, Volume 115, Issue 51, pp. E11951 - E11960
Journal Article
Journal Article
The New England journal of medicine, ISSN 1533-4406, 2016, Volume 375, Issue 24, pp. 2369 - 2379
The large majority of studies on the role of the microbiome in the pathogenesis of disease are correlative and preclinical; several have influenced clinical... 
STRAINS | HUMAN GUT MICROBIOME | CELLS | MEDICINE, GENERAL & INTERNAL | BACTERIA | SHAPE | METABOLIC-CHANGES | FECAL MICROBIOTA | OBESE | EXPOSURE | INNATE IMMUNITY | Disease - etiology | Biological Therapy | Animals | Aging - physiology | Diet | Health | Humans | Gastrointesti