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1 that matched a partial viral genome from the metagenome.
2 es that is highly prevalent in the human gut metagenome.
3 se of the fragmented nature of the reference metagenome.
4 ly derived natural products using the global metagenome.
5 ow rumen, termite hindgut and chicken caecum metagenome.
6 hallenging tasks such as the assembly of the metagenome.
7 e metabolic network defined by the annotated metagenome.
8 hat diazinon exposure altered the functional metagenome.
9 hotgun reads without considering a reference metagenome.
10 of the largest resources of analysed shotgun metagenomes.
11 hroughput recovery of microbial genomes from metagenomes.
12 ate mercury were notably absent from sea-ice metagenomes.
13 igh-throughput DNA sequencing of genomes and metagenomes.
14  50-75% of the known functional potential of metagenomes.
15 reads that distinguish between two groups of metagenomes.
16 ere predominantly detected in Atlantic Ocean metagenomes.
17 ified natural products directly from complex metagenomes.
18 l metabolites, bacterial taxa, and bacterial metagenomes.
19 ibitors within 185 globally distributed soil metagenomes.
20 ealthy subjects but is more prevalent in IBD metagenomes.
21 , and in a subset of aquatic and terrestrial metagenomes.
22 a method to estimate and project coverage in metagenomes.
23 riptomes, amplified single-cell genomes, and metagenomes.
24 that XyGULs are ubiquitous in surveyed human metagenomes.
25 d for strain/species-level identification in metagenomes.
26 e some of the first deep pelagic ocean viral metagenomes.
27 spread, occurring in 94% of 137 investigated metagenomes.
28  both within a single metagenome and between metagenomes.
29 n existing virus like particle-derived viral metagenomes.
30 analysis of genes from microbial genomes and metagenomes.
31 tect and quantify target genes in short-read metagenomes.
32 ESMAN for De novo Extraction of Strains from Metagenomes.
33 ng pathways, using publically available soil metagenomes.
34 ucleotide polymorphisms (SNPs), from shotgun metagenomes.
35 proximately 2.5% of publicly available viral metagenomes.
36 ellowstone National Park hot spring sediment metagenomes.
37 of data from the study, comprising 1,631 new metagenomes (2,355 total) targeting diverse body sites w
38                 Mammals are defined by their metagenome, a combination of host and microbiome genes.
39 c tools can be used to functionally annotate metagenomes, allowing researchers to draw inferences abo
40                                              Metagenome analyses also revealed recurrent patterns at
41  rapidly while the computational methods for metagenome analysis are still in their infancy.
42 ew program MeganServer that allows access to metagenome analysis files hosted on a server, we provide
43                                        Whole metagenome analysis has the potential to reveal function
44 ation of 16S rRNA gene profiling and shotgun metagenome analysis of the microbiota associated with wi
45 rescence in situ hybridization, and targeted metagenome analysis were combined with geochemical analy
46 s, Elviz can greatly accelerate the speed of metagenome analysis.
47 ings and the potential for this approach for metagenome analysis.
48 n of genomic variation, both within a single metagenome and between metagenomes.
49          I further address the effect of the metagenome and exposome as key modifiers of immune-syste
50  trait locus (QTL), transcriptome, proteome, metagenome and metabolome data sets--by far the largest
51 alcohol-associated changes to the intestinal metagenome and metabolome, characterized by reduced synt
52 ases impact the interpretation of how marine metagenome and metatranscriptome functional capacity cha
53                   Here, we reconstructed the metagenome and metatranscriptome of a population of SAR3
54    Finally, systematic comparison of the gut metagenome and metatranscriptome revealed that a substan
55 selenocysteine tRNAs in terabytes of genome, metagenome and metatranscriptome sequences.
56             Identifying bacterial strains in metagenome and microbiome samples using computational an
57 udy outlines CAZyme profile of buffalo rumen metagenome and provides a scope to study the role of abu
58 ing and debranching enzymes in buffalo rumen metagenome and that of cellulases and hemicellulases in
59  subfamily comparison of genes from multiple metagenomes and comparisons with genes from microbial is
60                We explored these findings in metagenomes and metatranscriptomes and observed similar
61 We developed a model that directly simulates metagenomes and metatranscriptomes for comparison with o
62     Here, we analysed pHMO gene diversity in metagenomes and metatranscriptomes of hydrocarbon-rich h
63  and gradient relationships between genomes, metagenomes and metatranscriptomes.
64 than their typical counterparts in most soil metagenomes and the abundance of bacterial amoA was quan
65 tool for the visual exploration of assembled metagenomes and their complex metadata.
66                      Comparisons among other metagenomes and these Microviridae major-capsid sequence
67 l reads in virus-like particle (VLP)-derived metagenomes and total community metagenomes, respectivel
68 ied MIDAS to 198 globally distributed marine metagenomes and used gene content to show that many prev
69 ichia coli, was retrieved from chicken feces metagenomes and was determined to carry diverse ARGs (mu
70 cosal homeostasis via their composite genes (metagenome) and metabolic products (metabolome).
71 t microbiome community structure, functional metagenome, and associated metabolic profiles in a sex-s
72 ion of the metabolic activities encoded in a metagenome, and thus improves the comparative analysis o
73                We identify best practices in metagenome annotation and use them to guide the developm
74 them to guide the development of the Shotgun Metagenome Annotation Pipeline (ShotMAP).
75 nnotation is carried out by JGI's genome and metagenome annotation pipelines.
76 publicly available genomes, expert review of metagenome annotations (IMG/M ER) and Human Microbiome P
77 publicly available genomes, expert review of metagenome annotations and Human Microbiome Project (HMP
78                         Microbial genome and metagenome application specific data marts and user inte
79                           Large multi-sample metagenomes are being generated but strain variation res
80 ch microbiome studies are replicable and new metagenomes are easily and rapidly integrated with exist
81  because protein coding genes predicted from metagenomes are incomplete and fragmental.
82 the other hand, the two GH43 ABNs from rumen metagenome, ARN2 and ARN3, presented a calcium-independe
83  versus protein metabolism in the functional metagenome, as well as differences in plant- versus meat
84                           Our experiments on metagenomes assembled from long reads show that BIGMAC c
85  (MISAG) and the Minimum Information about a Metagenome-Assembled Genome (MIMAG), including, but not
86                                 Nitrosotalea metagenome-assembled genome from an acidic fen, and perf
87                       Here we reconstruct 73 metagenome-assembled genomes (MAGs) from two geochemical
88      Current algorithms can bin contigs into metagenome-assembled genomes but are unable to resolve s
89                                        Here, metagenome-assembled genomes representing Marinimicrobia
90 global ocean virome data sets than published metagenome-assembled viral genomes or isolates.
91                         Omega (overlap-graph metagenome assembler) was developed for assembling and s
92 rk metaSPAdes against other state-of-the-art metagenome assemblers and demonstrate that it results in
93          Elviz allows scientists to navigate metagenome assemblies across multiple dimensions and sca
94 tively evaluating the accuracy of single and metagenome assemblies and for automatically detecting an
95                                              Metagenome assemblies are far from perfect, partially ex
96 e far from perfect, partially explaining why metagenome assemblies are not used for the analysis of m
97 nterpretation of individual gene surveys and metagenome assemblies in environmental microbiology.
98 ng--to generate previously intractable large metagenome assemblies.
99 ification, and none are designed to evaluate metagenome assemblies.
100 ts the de Bruijn graph structure reported by metagenome assembly algorithms to generate a comprehensi
101 o metatranscriptome assembly using graphs of metagenome assembly as the reference.
102 rized microbial 16S rRNA amplicons and phage metagenomes associated with Montastraea annularis corals
103 ck by untargeted shotgun sequencing of whole metagenomes at affordable cost.
104                   Disease activity and stool metagenomes at baseline, and weeks 14, 30, and 54 after
105 tion of CPV sequencing reads to those of the metagenome background ranging from 0.0015-6.7%.
106 abases and a dedicated computing cluster, or metagenome-based approaches that have not been fully eva
107 led metagenome, MGIIa_P, was recovered using metagenome binning methods.
108  a latitudinal basis for differences in soil metagenome biosynthetic domain compositions should help
109 e show that homology-based screening of soil metagenomes can be used to specifically target the disco
110  frequencies of word patterns in genomes and metagenomes can potentially be useful for the analysis o
111 oups, each of which were predicted to encode metagenomes capable of producing metabolites characteris
112 nt was associated with an altered microbiota metagenome characterized by elevated levels of lipopolys
113     Strain-level genetic variants present in metagenomes clearly reveal extensive structure and dynam
114  expanding database of microbial genomes and metagenomes, combined with direct experiments, resulted
115 ntifying putative cas genes from genomes and metagenomes, combining similarity searches with genomic
116 ent development of alignment-free genome and metagenome comparison based on the frequencies of word p
117                           Amordad places the metagenome comparison problem in a geometric context, an
118                    Alignment-free genome and metagenome comparisons are increasingly important with t
119    We established a catalog of the mouse gut metagenome comprising approximately 2.6 million nonredun
120 er, there has been no information on the gut metagenome configuration in hunter-gatherer populations,
121                        The amplified ambient metagenome contained genomes similar to an RNA-DNA hybri
122          MGIIa_P is the first assembled MGII metagenome containing a catalase gene, which might be in
123                                              Metagenome content was predicted using PiCRUST.
124  for analysis of 16S rRNA gene diversity and metagenome content.
125                                  Analyses of metagenome data (MG) and metatranscriptome data (MT) are
126                                              Metagenome data from a tractable, thermoacidophilic micr
127  viral community from publicly available gut metagenome data sets from human populations with differe
128 h the rapid growth in the number and size of metagenome data sets handled by the system.
129 sion on artificial as well as real human gut metagenome data sets.
130                                    As sponge metagenome data strongly suggest the presence of associa
131 rofiling and binning are key to interpreting metagenome data, but a lack of consensus about benchmark
132                            We then integrate metagenome data, contact-based structure matching, and R
133 s, and assessments of annotation accuracy on metagenome data.
134    GRASPx was also applied to a human saliva metagenome dataset and shows superior performance for bo
135                                  Genomes and metagenome datasets are processed using IMG's microbial
136 is a data warehouse that contains genome and metagenome datasets sequenced at the Joint Genome Instit
137 ity metrics that are suitable for evaluating metagenome de novo assembly.
138                                          The metagenome-derived gene and an ortholog from an uncultur
139  and represent abundant and widespread viral metagenome-derived protein clusters (PCs).
140                            PICRUSt-predicted metagenomes displayed differential effects of Ag treatme
141 e have screened over one million clones from metagenome DNA libraries derived from sixteen different
142  more than 125 species in more than 1500 gut metagenomes drawn from populations spanning North and So
143 , a high viral diversity was observed in the metagenomes, especially among the Lipothrixviridae, as i
144 garithmic query time for identifying similar metagenomes even as the database size reaches into the m
145 teractions, including 16S rRNA gene surveys, metagenome experiments, and metatranscriptome studies.
146                                       Across metagenomes, fluctuations of the microbial community str
147 stitute a systematic interrogation of a soil metagenome for gene clusters capable of encoding natural
148 omplete genome of this phylotype from a soil metagenome for which we propose the provisional name 'Ca
149 iofilms in glacier-fed streams, we predicted metagenomes from 16s rRNA gene sequence data using PICRU
150                    We applied MIDAS to stool metagenomes from 98 Swedish mothers and their infants ov
151                            We also sequenced metagenomes from a subset of the sites to determine how
152 e genes across 1267 publicly available fecal metagenomes from American, European and Chinese individu
153 c composition in simulated viromes and viral metagenomes from different benthic deep-sea ecosystems.
154 genomes, recently sequenced genomes and real metagenomes from different body sites, suggesting that t
155 and the application of MaxBin 2.0 to several metagenomes from environmental samples demonstrated that
156 ured archaea, bacteria and viruses and (iii) metagenomes from environmental, host associated and engi
157 h confidence protein clusters using 32 viral metagenomes from four biogeographic regions in the Pacif
158                                     Sediment metagenomes from four high-latitude regions of both Hemi
159 rmination from raw sequencing reads of fecal metagenomes from mice orally infected with this pathogen
160 n Nitrospira lenta from activated sludge, in metagenomes from soils and freshwater habitats, and of o
161           We applied these tools to 520 oral metagenomes from the Human Microbiome Project, finding e
162                Here, by sequencing Hodgkinia metagenomes from the remaining six Magicicada and two si
163 ome b6, was used to recruit reads out of 109 metagenomes from the Tara Oceans expedition.
164                  The mddA gene is present in metagenomes from varied environments, being particularly
165                                              Metagenome functional prediction supported decreased fat
166 ed lipid pathways, consistent with predicted metagenome functionality.
167                                      General metagenome functions often correlate with the underlying
168 ) single cell genomes (SCG) and genomes from metagenomes (GFM) from uncultured archaea, bacteria and
169 , metaproteomic data analyses often employ a metagenome-guided approach, in which complete or fragmen
170 resent a graph-centric approach to improving metagenome-guided peptide and protein identification in
171  of RNA viruses in these Antarctic RNA virus metagenomes had +ssRNA genomes most closely related to v
172                            Recent studies of metagenomes have begun to characterize the composition o
173  Here we show, using 784 available human gut metagenomes, how antidiabetic medication confounds these
174  the natural history of changes in the fecal metagenome in SIV-infected monkeys.
175 nce genomes, (2) define core microbiomes and metagenomes in these model systems, (3) elucidate the ru
176 is of microbial community aggregate genomes (metagenomes) in the context of a comprehensive set of re
177 ing for (de)halogenating enzymes in the soil metagenome including specific and unspecific halogenases
178                                  Analysis of metagenomes indicated phoA, phoD and phoX, and histidine
179           Evidence of IT-sialidases in human metagenomes indicates that this enzyme occurs in healthy
180                   The Critical Assessment of Metagenome Interpretation (CAMI) challenge has engaged t
181                                          The metagenome is a complex community dominated by bacteria
182 ss of stress response genes, and instead the metagenome is enriched in genes involved with dormancy a
183 istance and virulence, detecting them within metagenomes is therefore vital.
184 etrieved viral sequences from six hot spring metagenomes isolated worldwide, revealing a wide distrib
185 composition and functional capacity, linking metagenome-level compositional shifts to strain-level va
186                    Analysis of environmental metagenome libraries detected PHV sequences in coastal m
187 (such as isolate genome, single-cell genome, metagenome, metatranscriptome) and complex Analysis Proj
188                A nearly completely assembled metagenome, MGIIa_P, was recovered using metagenome binn
189 ysis drawing on all publicly available viral metagenomes observed a mere 257,698 viral genotypes on E
190 iles was explored according to the predicted metagenomes obtained by PICRUSt (phylogenetic investigat
191 Endozoicomonas genomes from single cells and metagenomes obtained directly from the corals Stylophora
192 ion based on genomic bins assembled from the metagenome of deep-sea subsurface sediments shows that t
193                             We sequenced the metagenome of the soil-inhabiting fungus Mortierella elo
194  find within-sample genomic variation in the metagenomes of a kimchi fermentation process, the microb
195 tibiotic Resistance Database (CARD) from the metagenomes of each sample using the Short, Better Repre
196 n and its co-occurring temperate population, metagenomes of each type were prepared from the same sea
197                                    Predicted metagenomes of particular microbiota members involved in
198 tides, are widely distributed in genomes and metagenomes of the human microbiota.
199      To understand MRE biology, we sequenced metagenomes of three MRE populations, each associated wi
200 yTaxa on in silico generated (mock) and real metagenomes of varied read length (100-2000 bp) revealed
201            The collective genetic potential (metagenome) of the human microbiome is orders of magnitu
202 However, the now-documented influence of the metagenome on experimental results and the reproducibili
203 mplex Analysis Projects (such as genome from metagenome, or combined assembly from multiple Sequencin
204 n a tour-de-force effort, map the human skin metagenomes over time.
205 ydratase gene cluster (pduCDE) in Firmicutes metagenomes predicted from the 16S rRNA gene.
206 rgeted metagenomic sequencing and functional metagenome prediction.
207 a community's functional potential; however, metagenome predictions based on 16S rRNA sequence tags c
208                                              Metagenome predictions supported the premise that L. pla
209 onal plugin provides features for common 16S metagenome profiling analysis such as chimera filtering,
210 terns can be further extended to problems in metagenome profiling and cell type inference.
211            In addition, predicted functional metagenome profiling suggested an over-representation of
212 acterial DNA, which appears to be sampled by metagenome projects non-specifically.
213 set analysis, which runs in conjunction with Metagenome-RAST (MG-RAST) servers.
214  were first evaluated against mock community metagenomes, recently sequenced genomes and real metagen
215 -CO2 environment by assembly and analysis of metagenomes recovered from geyser water filtrate.
216  thousands of novel CRISPR spacers from each metagenome, reinforcing the notion of high viral diversi
217                                The predicted metagenomes related to carbohydrate and energy metabolic
218 PICRUSt analysis revealed that the predicted metagenomes related to the glycan biosynthesis and metab
219 omic affiliation of sequences assembled from metagenomes remains a major bottleneck that affects rese
220 ew species as well as reconstructing complex metagenomes remains major technological challenges.
221 0% of the assembled sequences from human gut metagenomes represent novel species with no sequenced re
222 ls from corresponding gastrointestinal tract metagenomes, respectively.
223 VLP)-derived metagenomes and total community metagenomes, respectively; and it totals 1.68% of all hu
224  Sequencing and analysis of single cells and metagenomes resulted in four novel genomes with 60-76% a
225 luorescence in situ hybridization images and metagenome results suggest that Methanobacterium spp. ma
226                                     However, metagenomes revealed mixed acid and Entner-Dourdoroff fe
227          Analyses of 186 microbial and viral metagenomes revealed that SUP05 viruses persisted for ye
228 equences recovered from over 6,000 assembled metagenomes sampled globally.
229  and Human Microbiome Project (HMP)-specific metagenome samples (IMG/M HMP).
230                              We evaluated 11 metagenome samples and demonstrated that microbes inhabi
231       Analysis of 122 global ocean whole DNA metagenome samples from the Tara-Oceans expedition revea
232  and Human Microbiome Project (HMP)-specific metagenome samples.
233 s of interactions between microbial species, metagenome-scale models of community-level metabolism, a
234 teins that belong to large families and that metagenome sequence data more than triple the number of
235 e processed using IMG's microbial genome and metagenome sequence data processing pipelines and are in
236 of isolate microbial genomes, plasmidome and metagenome sequence data.
237                                          The metagenome sequence of Candidatus Lokiarchaeon has ident
238                             While genome and metagenome sequences are being produced at breakneck spe
239                                  Assembly of metagenome sequences does not output whole genomes, so c
240                     Phylogenetic analysis of metagenome sequences indicated the phenotypic shift obse
241 rding to 16S rRNA pyrosequencing and shotgun metagenome sequencing analyses, the most abundant specie
242  to the detection of MDR bacteria by shotgun metagenome sequencing as a novel method that might bette
243                                   Genome and metagenome sequencing efforts that span the past decade
244                      We investigated shotgun metagenome sequencing for the detection of methicillin-r
245                                      Shotgun metagenome sequencing has become a fast, cheap and high-
246 arge volumes of sequencing data required for metagenome sequencing has led to unacceptably high false
247                                      By deep metagenome sequencing of faecal DNA from 287 pigs, we id
248 iotic feed additives to feedlot cattle using metagenome sequencing of treated and control animals.
249                                              Metagenome sequencing revealed integrons in the gut meta
250 quence information derived from accompanying metagenome sequencing to accurately correct errors in SA
251     Over the past decade, the application of metagenome sequencing to elucidate the microbial composi
252 ality genome sequences and single time-point metagenome sequencing to infer microbial population repl
253 ion of 16S rRNA amplicon sequencing, shotgun metagenome sequencing, and liquid chromatography tandem
254 onomic and functional diversity with shotgun metagenome sequencing.
255 erial 16S ribosomal RNA (rRNA) gene or whole metagenome shotgun (WMS) sequencing provides more precis
256 ul and complete pipeline for the analysis of metagenome shotgun sequences.
257                                        Whole metagenome shotgun sequencing is a powerful approach for
258                                The Hadza gut metagenome structure allows us to appreciate the co-adap
259 re both user-submitted datasets and numerous metagenome studies publicly available at the Joint Genom
260 ix times more abundant in publicly available metagenomes than all other known phages together; it com
261                In the functional analysis of metagenomes, the features may refer to the pathways, sub
262     SUPER-FOCUS was tested with over 70 real metagenomes, the results showing that it accurately pred
263 Trichodesmium isolates and two Trichodesmium metagenomes, thereby identifying highly conserved, novel
264         With thousands of publicly available metagenomes, these questions should be easy to answer.
265 e-free analyses captured the uncharacterized metagenome through the development of a multi-kingdom ge
266 rce environments (HREs) and sequenced twelve metagenomes to characterize their metabolic potential.
267                      Here, we use triplicate metagenomes to compare common aquatic viral concentratio
268              We then assemble two large soil metagenomes totaling 398 billion bp (equivalent to 88,00
269                                        Viral metagenomes typically contain many unknown sequences.
270                       Genomes extracted from metagenomes using homology and compositional approaches
271          The problem of de-novo assembly for metagenomes using only long reads is gaining attention.
272 e double-stranded DNA (dsDNA) viral-fraction metagenomes (viromes) and whole viral community morpholo
273 thin viral genomes and virioplankton shotgun metagenomes (viromes), and estimated to occur within >90
274 lity to identify up to 90% of reads in viral metagenomes (viromes).
275 rom a reactor biomass community for which no metagenome was available.
276                 68% of the health-associated metagenome was dedicated to energy utilization through o
277                            The induced viral metagenome was higher in identifiable virus sequences an
278                                The human gut metagenome was recently discovered to encode vast collec
279 e, FOAM (Functional Ontology Assignments for Metagenomes), was developed to screen environmental meta
280 file highly recombinant neisseriae from oral metagenomes, we integrated four metagenomic analysis tec
281 ificant numbers of dsyB homologues in marine metagenomes, we propose that bacteria probably make a si
282 s for a microbial community that had a known metagenome were identified by matching mass and elution
283 ccus (VRE), and MDR Enterobacteriaceae Fecal metagenomes were analyzed from high-risk inpatients and
284           Both of the amplified contemporary metagenomes were enriched in single-stranded DNA (ssDNA)
285                                    Bacterial metagenomes were predicted from 16S rRNA data by using P
286           To test this hypothesis, microbial metagenomes were sequenced from 22 coral reefs at 11 Lin
287 p. CCM components in the Global Ocean Survey metagenomes were very similar to those in the genomes of
288 . fetus genomes in 8% of healthy human fecal metagenomes, where the human-associated lineages are the
289 usly, novel genes dominate viral genomes and metagenomes, which has led to the suggestion that viruse
290 nt in the majority of published human faecal metagenomes, which we refer to as crAssphage.
291 ied out metagenomic shotgun sequencing and a metagenome-wide association study (MGWAS) of fecal, dent
292                               We performed a metagenome-wide association study and serum metabolomics
293                           Here, we perform a metagenome-wide association study on stools from 218 ind
294                  Here, the authors perform a metagenome-wide association study on stools from individ
295 side hydrolase (GH) profile of buffalo rumen metagenome with cow rumen, termite hindgut and chicken c
296     Sensitivity evaluation against synthetic metagenomes with different coverage suggested that 50 GS
297 ed to near completion (97% and 94%) from OMZ metagenomes, with contamination (14.1%) observed only in
298 s used in amplification impact the resulting metagenomes, with TaKaRa enriching for 'rare' reads rela
299 ort reads can be challenging for genomes and metagenomes without template sequences, making alignment
300  identify microbial strains/species from raw metagenomes, without the effort of complex data pre-proc

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