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1 ew other collections of sequences (including human microbiomes).
2 esent previously unidentified members of the human microbiome.
3 ontributing to the protective effects of the human microbiome.
4 and converge along an axis toward the modern human microbiome.
5 on the discovery of small molecules from the human microbiome.
6 lations and existing populations such as the human microbiome.
7 e planet, including the trillions within the human microbiome.
8 us growth in the collective knowledge of the human microbiome.
9 and other pathways maintained throughout the human microbiome.
10 , and is now a vital tool for studies of the human microbiome.
11 arge-scale sequencing efforts to catalog the human microbiome.
12 in tumors that are in close proximity to the human microbiome.
13 the most numerically prominent genera of the human microbiome.
14 ty of commensal microbes, which comprise the human microbiome.
15 ing metabolism and immune homeostasis in the human microbiome.
16 ated an association between the diet and the human microbiome.
17 provide insight into the forces shaping the human microbiome.
18 tivate studies of hypervariation in the full human microbiome.
19 omplex heterogeneous communities such as the human microbiome.
20 ommunities to the symbionts that compose the human microbiome.
21 xenobiotic metabolism to spread through the human microbiome.
22 bitats, ranging from soil collectives to the human microbiome.
23 tics, to maximize sustainable changes in the human microbiome.
24 ve or suppress undesirable components of the human microbiome.
25 ained from high throughput sequencing of the human microbiome.
26 owledging nuance when describing the complex human microbiome.
27 e composition and variation of the "healthy" human microbiome.
28 the interrogation and interpretation of the human microbiome.
29 ch remains to be learned about phages in the human microbiome.
30 g O. formigenes in the context of its native human microbiome.
31 to unravel the highly dynamic nature of the human microbiome.
32 nly associated with environments outside the human microbiome.
33 f natural CRISPR-cas loci and targets in the human microbiome.
34 oils, extreme environments, bioreactors, and human microbiomes.
35 cific microbial functions within the healthy human microbiome across multiple body sites and can be u
36 both the extent to which these factors alter human microbiome activity and/or structure and the abili
37 tial to improve our understanding of how the human microbiome affects digestive health and disease.
39 ida albicans is both a member of the healthy human microbiome and a major pathogen in immunocompromis
40 evalent T cell epitopes from bacteria in the human microbiome and a pan-variant epitope from SARS-CoV
41 gations focused on the interplay between the human microbiome and cancer development, herein termed t
42 s in length, the largest yet reported in the human microbiome and close to the maximum size ever repo
45 in power in testing the associations between human microbiome and diet intakes and habitual smoking.
46 s have demonstrated associations between the human microbiome and disease, yet fundamental questions
49 heories and statistical tools to analyze the human microbiome and fully realize the potential of this
55 h examples of the functional genomics of the human microbiome and its influences upon health and dise
56 ial interest in the species diversity of the human microbiome and its role in disease, the scale of i
59 s important for the goal of manipulating the human microbiome and other important microbial systems.
60 AGORA2 serves as a knowledge base for the human microbiome and paves the way to personalized, pred
61 ng of the chemical repertoire encoded by the human microbiome and provides a generalizable platform f
62 class of molecules are widely encoded in the human microbiome and that they exert potent antibacteria
63 al microbes influence the development of the human microbiome and the immune system is important to e
64 ces are available for many bacteria from the human microbiome and the ocean (over 800 and 200, respec
67 microbial time series, from plankton and the human microbiome, and investigate whether stochastic gen
68 ey are also found in multiple members of the human microbiome, and may play a beneficial role in trim
70 variation in shaping the composition of the human microbiome, and provide a starting point toward un
71 ution of small-molecule-encoding BGCs in the human microbiome, and they demonstrate the bacterial pro
72 resent rare, low-abundance components of the human microbiome, and thus have great potential as broad
73 onal diversity and organismal ecology in the human microbiome, and we determined a core of 24 ubiquit
74 The trillions of bacteria that make up the human microbiome are believed to encode functions that a
77 Simulated data and two real data sets on the human microbiome are used to illustrate the promise of o
78 associated with the human body, that is, the human microbiome, are complex ecologies critical for nor
79 may reflect the resistance burden within the human microbiome, as antibiotics and pathogens in wastew
81 fferent cultures, requiring that the healthy human microbiome be characterized across life spans, eth
83 over the majority of abundant species in the human microbiome but only a small proportion of microbes
84 underlie the stability and resilience of the human microbiome, but this hypothesis has never been qua
85 e the basis for functional redundancy in the human microbiome by analyzing its genomic content networ
88 bes that live in and on the human body - the human microbiome - can impact on cancer initiation, prog
90 relative complexity of soil, freshwater and human microbiome communities, and suggested that approxi
93 nt joint publications of the findings of the Human Microbiome Consortium and related studies, the con
95 whole-genome sequencing, and studies of the human microbiome continue to produce novel taxa and clea
98 immense diversity of resistance genes in the human microbiome could contribute to future emergence of
100 article explores strategies for merging the human microbiome data with multiple additional datasets
101 d misses 60% of the true interactions in the human microbiome data, and, as predicted, most of the er
102 e the use of the package by applying it to a human microbiome dataset, where phylogeny structure amon
103 ion of our approach to bacterial genomes and human microbiome datasets allowed us to significantly ex
105 ontains 20 proteins, all identified from the human microbiome datasets, illustrating the importance o
106 y active small molecules encoded directly in human microbiome-derived metagenomic sequencing data.
108 harbor the specific pathogens present in the human microbiome during sepsis, as well as an underlying
110 Finally, we show that long-read assembly of human microbiomes enables the discovery of full-length b
114 cessfully exploited in the natural design of human microbiome evasion of C. difficile, and this metho
121 ne microbial and functional diversity in the human microbiome has enabled studies of microbiome-relat
123 discovery of the size and complexity of the human microbiome has resulted in an ongoing reevaluation
124 ition and functional capacity present in the human microbiome has revolutionized many concepts in our
125 uencing of microbes in human ecosystems (the human microbiome) has complemented single genome cultiva
129 Advances in metagenome sequencing of the human microbiome have provided a plethora of new insight
130 es coupled with our growing knowledge of the human microbiome have reduced, but not eliminated, measu
131 in fields such as molecular genetics and the human microbiome have resulted in an unprecedented recog
133 like during African ape diversification, but human microbiomes have deviated from the ancestral state
134 etic approach to reconstruct how present-day human microbiomes have diverged from those of ancestral
135 Relative to the microbiomes of wild apes, human microbiomes have lost ancestral microbial diversit
136 rk specifically in metabolic modeling of the human microbiome, highlighting both novel methodologies
140 s reported the structure and function of the human microbiome in 300 healthy adults at 18 body sites
141 lso been shown to play a role in shaping the human microbiome in different cultures, requiring that t
142 population-based studies of the role of the human microbiome in disease etiology and exposure respon
145 nd thus can be considered a component of the human "microbiome" in addition to their role in illness
146 roteins are highly abundant and those of the human microbiome, in particular, may perform diverse fun
147 re increasingly acquired in research on the (human) microbiome, in environmental studies and in the s
148 e genes characterized by biofilm-forming and human-microbiome-influenced environments with correspond
150 of research on the lung and related areas of human microbiome investigation were reviewed and discuss
154 ions and community membership of the healthy human microbiome is critical to accurately identify the
159 ective genetic potential (metagenome) of the human microbiome is orders of magnitude more than the hu
160 nd as we have yet to characterize the entire human microbiome it is likely that many nucleases are ye
161 tion for a unique framework for studying the human microbiome, its organization, and its impact on hu
162 rved in some coprolites, and these preserved human microbiomes match more closely to those from the r
163 Increased inter-individual variation in the human microbiome may be associated with human dietary di
164 red standard test sequences derived from the Human Microbiome Mock Community test sets and compared M
165 rehensive reference data set of the "normal" human microbiome of 242 healthy adults at 5 major body s
168 recognition, nearly a century ago, that the human microbiome plays a clinically relevant role in dru
178 We included 16S rRNA gene sequences from the Human Microbiome Project (HMP) and from 16 additional st
180 onomic classification by 61% compared to the Human Microbiome Project (HMP) genome collection and ach
181 s the Earth Microbiome Project (EMP) and the Human Microbiome Project (HMP) have revealed robust ecol
184 c approach that combines public genomes with Human Microbiome Project (HMP) metagenomes to study the
188 e whole meta-genome sequencing data from the Human Microbiome Project (HMP), consisting of 298 health
189 expert review of metagenome annotations and Human Microbiome Project (HMP)-specific metagenome sampl
190 iew of metagenome annotations (IMG/M ER) and Human Microbiome Project (HMP)-specific metagenome sampl
194 in 88% of the National Institutes of Health Human Microbiome Project (NIH HMP) stool samples, and th
197 tion sequencing has made it feasible for the Human Microbiome Project and other initiatives to genera
198 rom two large-scale metagenomic studies--the Human Microbiome Project and the Student Microbiome Proj
199 among bacteria more broadly, analysis of the Human Microbiome Project data demonstrate that at least
201 alyzed the 279 unique GUS sequences from the Human Microbiome Project database and identified 14 puta
202 the association networks we obtain from the Human Microbiome Project datasets show credible results
203 mining the shotgun metagenomic data from the Human Microbiome Project for host DNA reads, we gathered
205 al community surveys such as MetaHit and the Human Microbiome Project have described the composition
206 for thousands of RefSeq isolate genomes and Human Microbiome Project metagenomes and provide these d
209 ext-generation sequencing technology and the human microbiome project underway, current sequencing ca
211 a healthy cohort (n = 87) obtained from the Human Microbiome Project were aligned against the NCBI b
212 publicly available dataset obtained from the Human Microbiome Project which associates taxa abundance
213 organism from the high-priority group of the Human Microbiome Project's "Most Wanted" list, and, to o
214 These findings have implications for ongoing Human Microbiome Project(s), and highlight important cha
215 In the application to the data from the Human Microbiome Project, a close evaluation of the biol
216 more than 200 normal adults enrolled in the Human Microbiome Project, and metagenomically determined
217 ys such as MetaHIT and the recently released Human Microbiome Project, detailed investigations of the
218 these tools to 520 oral metagenomes from the Human Microbiome Project, finding evidence of site tropi
219 etagenomic deconvolution to samples from the Human Microbiome Project, successfully reconstructing ge
222 nOCC to a microbial ecology dataset from the Human Microbiome Project, which in addition to reproduci
236 nd metagenomic sequencing efforts, including human microbiome projects, reveal that microbes often en
237 dress one key question emerging from various Human Microbiome Projects: Is there a substantial core o
238 ntact with natural environments enriches the human microbiome, promotes immune balance and protects f
239 itope length matches (8-12 amino acids) with human microbiome proteins, suggestive of a possible cros
240 st-microbe co-diversification in shaping the human microbiome, providing a key foundation for compara
241 Klebsiella pneumoniae is part of the healthy human microbiome, providing a potential reservoir for in
254 ehensive current model for understanding the human microbiome's role in complex inflammatory disease.
256 DNA templates, cultured bacterial cells and human microbiome samples in the virtual microfluidics sy
257 roduces marked biases both across and within human microbiome samples, and identify sample- and gene-
260 primarily due to the exponential increase in human microbiome studies and a growing appreciation of o
262 what is, to our knowledge, one of the first human microbiome studies in a well-phenotyped prospectiv
265 atory and bioinformatic processing steps for human microbiome studies, a lack of consistency in DNA e
269 understanding the ecological dynamics of the human microbiome, such as compositional variability with
271 ylogenetically distinct enzymes found in the human microbiome that decarboxylate tryptophan to form t
272 duced by commensal-pathogenic members of the human microbiome that possess the clb (aka pks) biosynth
273 sthma to the composition and function of the human microbiome, the collection of microbes that reside
275 le intra- and interpersonal variation in the human microbiome, this variation can be partitioned into
276 of temporal variation in the ecology of the human microbiome, this work demonstrates the feasibility
277 fungi in buildings exert an influence on the human microbiome through aerosol deposition, surface con
278 g technologies have enabled the study of the human microbiome through direct sequencing of microbial
279 r, exert tremendous collateral damage to the human microbiome through overuse and broadening spectrum
280 demonstration, local similarity analysis of human microbiome time series shows that core operational
281 duration, high resolution time series of the human microbiome to decipher the networks of correlation
282 e importance of strain-level analysis of the human microbiome to define the role of commensals in hea
284 ans of understanding the contribution of the human microbiome to health and its potential as a target
287 analyze large microbial communities from the human microbiome, uncovering significant variation in di
288 d CRISPR loci and cas genes in the body-wide human microbiome using 2,355 metagenomes, yielding funct
291 Although the taxonomic composition of the human microbiome varies tremendously across individuals,
292 n effort to improve our understanding of the human microbiome, we compare gut microbiome composition
295 ated a set of 20 Bacteroidia pilins from the human microbiome whose structures and mechanism of assem
299 ch aim at associating the composition of the human microbiome with other available information, such
300 ced new microbial populations resembling the human microbiome, with stable O. formigenes colonization