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1 , and is now a vital tool for studies of the human microbiome.
2 arge-scale sequencing efforts to catalog the human microbiome.
3 in tumors that are in close proximity to the human microbiome.
4 the most numerically prominent genera of the human microbiome.
5 ty of commensal microbes, which comprise the human microbiome.
6 ing metabolism and immune homeostasis in the human microbiome.
7 ated an association between the diet and the human microbiome.
8 provide insight into the forces shaping the human microbiome.
9 tivate studies of hypervariation in the full human microbiome.
10 omplex heterogeneous communities such as the human microbiome.
11 ommunities to the symbionts that compose the human microbiome.
12 xenobiotic metabolism to spread through the human microbiome.
13 bitats, ranging from soil collectives to the human microbiome.
14 tics, to maximize sustainable changes in the human microbiome.
15 ve or suppress undesirable components of the human microbiome.
16 esent previously unidentified members of the human microbiome.
17 ontributing to the protective effects of the human microbiome.
18 and converge along an axis toward the modern human microbiome.
19 on the discovery of small molecules from the human microbiome.
20 lations and existing populations such as the human microbiome.
21 e planet, including the trillions within the human microbiome.
22 us growth in the collective knowledge of the human microbiome.
23 and other pathways maintained throughout the human microbiome.
24 oils, extreme environments, bioreactors, and human microbiomes.
25 cific microbial functions within the healthy human microbiome across multiple body sites and can be u
26 both the extent to which these factors alter human microbiome activity and/or structure and the abili
27 tial to improve our understanding of how the human microbiome affects digestive health and disease.
29 ida albicans is both a member of the healthy human microbiome and a major pathogen in immunocompromis
30 gations focused on the interplay between the human microbiome and cancer development, herein termed t
31 in power in testing the associations between human microbiome and diet intakes and habitual smoking.
32 s have demonstrated associations between the human microbiome and disease, yet fundamental questions
38 h examples of the functional genomics of the human microbiome and its influences upon health and dise
40 al microbes influence the development of the human microbiome and the immune system is important to e
41 ces are available for many bacteria from the human microbiome and the ocean (over 800 and 200, respec
42 ey are also found in multiple members of the human microbiome, and may play a beneficial role in trim
44 variation in shaping the composition of the human microbiome, and provide a starting point toward un
45 ution of small-molecule-encoding BGCs in the human microbiome, and they demonstrate the bacterial pro
46 onal diversity and organismal ecology in the human microbiome, and we determined a core of 24 ubiquit
47 The trillions of bacteria that make up the human microbiome are believed to encode functions that a
50 associated with the human body, that is, the human microbiome, are complex ecologies critical for nor
52 fferent cultures, requiring that the healthy human microbiome be characterized across life spans, eth
54 over the majority of abundant species in the human microbiome but only a small proportion of microbes
58 relative complexity of soil, freshwater and human microbiome communities, and suggested that approxi
61 nt joint publications of the findings of the Human Microbiome Consortium and related studies, the con
65 immense diversity of resistance genes in the human microbiome could contribute to future emergence of
67 article explores strategies for merging the human microbiome data with multiple additional datasets
68 d misses 60% of the true interactions in the human microbiome data, and, as predicted, most of the er
69 e the use of the package by applying it to a human microbiome dataset, where phylogeny structure amon
70 ion of our approach to bacterial genomes and human microbiome datasets allowed us to significantly ex
71 ontains 20 proteins, all identified from the human microbiome datasets, illustrating the importance o
74 cessfully exploited in the natural design of human microbiome evasion of C. difficile, and this metho
78 ne microbial and functional diversity in the human microbiome has enabled studies of microbiome-relat
80 discovery of the size and complexity of the human microbiome has resulted in an ongoing reevaluation
81 ition and functional capacity present in the human microbiome has revolutionized many concepts in our
82 uencing of microbes in human ecosystems (the human microbiome) has complemented single genome cultiva
85 in fields such as molecular genetics and the human microbiome have resulted in an unprecedented recog
87 like during African ape diversification, but human microbiomes have deviated from the ancestral state
88 etic approach to reconstruct how present-day human microbiomes have diverged from those of ancestral
89 Relative to the microbiomes of wild apes, human microbiomes have lost ancestral microbial diversit
90 rk specifically in metabolic modeling of the human microbiome, highlighting both novel methodologies
92 s reported the structure and function of the human microbiome in 300 healthy adults at 18 body sites
93 lso been shown to play a role in shaping the human microbiome in different cultures, requiring that t
94 population-based studies of the role of the human microbiome in disease etiology and exposure respon
96 nd thus can be considered a component of the human "microbiome" in addition to their role in illness
97 re increasingly acquired in research on the (human) microbiome, in environmental studies and in the s
98 of research on the lung and related areas of human microbiome investigation were reviewed and discuss
102 ions and community membership of the healthy human microbiome is critical to accurately identify the
105 ective genetic potential (metagenome) of the human microbiome is orders of magnitude more than the hu
106 nd as we have yet to characterize the entire human microbiome it is likely that many nucleases are ye
107 tion for a unique framework for studying the human microbiome, its organization, and its impact on hu
108 rved in some coprolites, and these preserved human microbiomes match more closely to those from the r
109 red standard test sequences derived from the Human Microbiome Mock Community test sets and compared M
115 We included 16S rRNA gene sequences from the Human Microbiome Project (HMP) and from 16 additional st
120 iew of metagenome annotations (IMG/M ER) and Human Microbiome Project (HMP)-specific metagenome sampl
121 expert review of metagenome annotations and Human Microbiome Project (HMP)-specific metagenome sampl
123 in 88% of the National Institutes of Health Human Microbiome Project (NIH HMP) stool samples, and th
125 tion sequencing has made it feasible for the Human Microbiome Project and other initiatives to genera
126 rom two large-scale metagenomic studies--the Human Microbiome Project and the Student Microbiome Proj
127 among bacteria more broadly, analysis of the Human Microbiome Project data demonstrate that at least
129 the association networks we obtain from the Human Microbiome Project datasets show credible results
130 mining the shotgun metagenomic data from the Human Microbiome Project for host DNA reads, we gathered
132 al community surveys such as MetaHit and the Human Microbiome Project have described the composition
135 ext-generation sequencing technology and the human microbiome project underway, current sequencing ca
137 a healthy cohort (n = 87) obtained from the Human Microbiome Project were aligned against the NCBI b
138 publicly available dataset obtained from the Human Microbiome Project which associates taxa abundance
139 organism from the high-priority group of the Human Microbiome Project's "Most Wanted" list, and, to o
140 These findings have implications for ongoing Human Microbiome Project(s), and highlight important cha
141 In the application to the data from the Human Microbiome Project, a close evaluation of the biol
142 more than 200 normal adults enrolled in the Human Microbiome Project, and metagenomically determined
143 ys such as MetaHIT and the recently released Human Microbiome Project, detailed investigations of the
144 these tools to 520 oral metagenomes from the Human Microbiome Project, finding evidence of site tropi
145 etagenomic deconvolution to samples from the Human Microbiome Project, successfully reconstructing ge
148 nOCC to a microbial ecology dataset from the Human Microbiome Project, which in addition to reproduci
159 nd metagenomic sequencing efforts, including human microbiome projects, reveal that microbes often en
160 dress one key question emerging from various Human Microbiome Projects: Is there a substantial core o
161 itope length matches (8-12 amino acids) with human microbiome proteins, suggestive of a possible cros
162 Klebsiella pneumoniae is part of the healthy human microbiome, providing a potential reservoir for in
168 ehensive current model for understanding the human microbiome's role in complex inflammatory disease.
169 DNA templates, cultured bacterial cells and human microbiome samples in the virtual microfluidics sy
170 roduces marked biases both across and within human microbiome samples, and identify sample- and gene-
172 primarily due to the exponential increase in human microbiome studies and a growing appreciation of o
174 what is, to our knowledge, one of the first human microbiome studies in a well-phenotyped prospectiv
178 understanding the ecological dynamics of the human microbiome, such as compositional variability with
180 ylogenetically distinct enzymes found in the human microbiome that decarboxylate tryptophan to form t
181 sthma to the composition and function of the human microbiome, the collection of microbes that reside
183 le intra- and interpersonal variation in the human microbiome, this variation can be partitioned into
184 of temporal variation in the ecology of the human microbiome, this work demonstrates the feasibility
185 fungi in buildings exert an influence on the human microbiome through aerosol deposition, surface con
186 g technologies have enabled the study of the human microbiome through direct sequencing of microbial
187 r, exert tremendous collateral damage to the human microbiome through overuse and broadening spectrum
188 demonstration, local similarity analysis of human microbiome time series shows that core operational
189 e importance of strain-level analysis of the human microbiome to define the role of commensals in hea
190 ans of understanding the contribution of the human microbiome to health and its potential as a target
191 analyze large microbial communities from the human microbiome, uncovering significant variation in di
195 ated a set of 20 Bacteroidia pilins from the human microbiome whose structures and mechanism of assem
199 ch aim at associating the composition of the human microbiome with other available information, such
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