戻る
「早戻しボタン」を押すと検索画面に戻ります。 [閉じる]

コーパス検索結果 (１語後でソート)

通し番号をクリックするとPubMedの該当ページを表示します
1 sequencing DNA directly from an environment (metagenomics).
2 BRA bacterial community structure (V3V4 16 S metagenomics).
3 ed encephalitis was investigated using viral metagenomics.
4  resolvable in the near future through viral metagenomics.
5 one that we discuss here, is in genomics and metagenomics.
6 ress the problem of barcode deconvolution in metagenomics.
7 wo historical baboons from a zoo via shotgun metagenomics.
8 surface microbiome was assessed with shotgun metagenomics.
9 en using culture-independent high-throughput metagenomics.
10  sequencing data is a challenging problem in metagenomics.
11 obing, Raman-activated cell sorting and mini-metagenomics.
12 al gut virome in 44 recipients of HSCT using metagenomics.
13 ncing reads is one of the important goals in metagenomics.
14 approaches from other fields to the field of metagenomics.
15 ence genome, limiting the potential of whole metagenomics.
16 tance of detailed profiling methods, such as metagenomics.
17 biome alterations in ACLF using quantitative metagenomics.
18 s the increasing number of disciplines using metagenomics.
19 ture as evidenced by amplicon sequencing and metagenomics.
20 target-specific polymerase chain reaction or metagenomics.
21                                           In metagenomics, 16S and 18S rRNA gene have been widely use
22       We addressed this using RNA sequencing metagenomics(4-6) of placental samples from normal and c
23  plant virus families identified in fungi by metagenomics 91 Acknowledgements 91 References 91 SUMMAR
24                          Here we show, using metagenomics, a high temperature oil reservoir of marine
25                       Extensive sampling and metagenomics analyses of plankton communities across all
26  of DNA methylation information into shotgun metagenomics analyses will complement existing methods t
27 r Citrobacter rodentium infection along with metagenomics analyses, multicolor flow cytometry, and bi
28 pplications such as de novo genome assembly, metagenomics analysis and single nucleotide polymorphism
29                                            A metagenomics analysis developed in under a week recovere
30 etagenomics-RAST (MG-RAST), the most popular metagenomics analysis pipeline.
31             Using coordinated proteomics and metagenomics analysis we simultaneously analysed the mic
32                     Using deep shotgun stool metagenomics analysis, we found a rapid increase in gut
33                     Using deep shotgun stool metagenomics analysis, we found a rapid increase in gut
34 de, providing increased sensitivity in viral metagenomics analysis.
35 te counting, quantitative real-time PCR, and metagenomics analysis.
36                                              Metagenomics and 16S rRNA gene amplicon sequencing revea
37 d and microbial communities assessed through metagenomics and 16S rRNA gene sequencing.
38 ed and fecal DNA was sequenced using shotgun metagenomics and analyzed with specifically designed bio
39 al pig diarrhea case and identified by using metagenomics and complete genome sequencing.
40                                      Shotgun metagenomics and computational analysis are used to comp
41 escence and electron microscopy, analyzed by metagenomics and cultured using previously developed met
42                                              Metagenomics and culturomics have identified strains of
43  microbial composition by performing shotgun metagenomics and de novo assembly of metagenome-assemble
44 elping to determine the relationship between metagenomics and disease.
45  analysis of fungi and bacteria with shotgun metagenomics and extracellular enzyme assays.
46                             In this context, metagenomics and functional omics will likely play a cen
47 n structure and function prediction, e.g. in metagenomics and genomics projects.
48                                      Further metagenomics and metabolomic studies found that the hypo
49                               After reducing metagenomics and metabolomics data dimensionality, multi
50                        By integrating paired metagenomics and metabolomics data from existing cohorts
51 s in pediatric NAFLD patients using targeted metagenomics and metabolomics.
52 ments using (15) N methylamine combined with metagenomics and metaproteomics facilitated identificati
53                                              Metagenomics and metaproteomics, combined with (13) C-me
54   Biomass was sampled from both reactors for metagenomics and metaproteomics, yielding a set of genom
55 tegrated approach using both virion-enriched metagenomics and metatranscriptomics constitutes a power
56 vealed that a combination of virion-enriched metagenomics and metatranscriptomics may be a more compr
57 s to acetate, CO2 , H2 and formate, combined metagenomics and metatranscriptomics show that unculture
58                Here, we used genome-resolved metagenomics and metatranscriptomics to examine patterns
59 iral communities revealed by virion-enriched metagenomics and metatranscriptomics were not interchang
60 tween pairs of coexisting gut microbes using metagenomics and microarray-based metatranscriptomics da
61                                     Based on metagenomics and microbiological analyses, it was found
62                                        Here, metagenomics and network inference show that fungal infe
63                                        Using metagenomics and precision microbiota reconstitution, we
64 lyzing 16S rRNA microbial profiling, shotgun metagenomics and SCFAs in 153 fecal samples from non-kid
65                                              Metagenomics and single-cell genomics can reveal unknown
66                                              Metagenomics and single-cell genomics have enabled genom
67                                              Metagenomics and transcriptomics of SJ3 reveal a diverse
68 ve been used to study viral diversity, viral metagenomics and virus-host interactions in natural ecos
69 e-independent amplification (virion-enriched metagenomics) and metatranscriptomics based on bulk RNA
70 ; 285 fecal samples were analyzed by shotgun metagenomics, and 60 fecal samples were analyzed for met
71 and blood culture specimens, next-generation metagenomics, and gas chromatography mass spectrometry.
72 eq Analysis (including Single-cell RNA-seq), Metagenomics, and Gene Enrichment.
73          Here we apply single-cell genomics, metagenomics, and metatranscriptomics to study bacterial
74 metagenomics resources, such as MG-RAST, EBI Metagenomics, and probeBASE, as well as a newly compiled
75  currently available virus genomes come from metagenomics, and some of these represent extremely abun
76 ducted a mesocosm experiment combined with a metagenomics approach (GeoChip 5.0) to elucidate the eff
77 dy of CBM_E1, which was discovered through a metagenomics approach and is the founding member of a no
78 wabs using an RNA sequencing (RNA-seq)-based metagenomics approach and Taxonomer, an ultrarapid, inte
79  WGA kits were tested for their utility in a metagenomics approach to identify the pathogens in sonic
80                            We used a shotgun metagenomics approach to investigate the taxonomic and f
81                      The geminivirus-focused metagenomics approach we applied in this study was usefu
82                                      Shotgun metagenomics approaches additionally can provide informa
83                                              Metagenomics approaches can effectively detect broad pro
84                              Filtering using metagenomics approaches generated a draft H. dujardini g
85 iscuss how uHTS can inspire novel functional metagenomics approaches to identify natural biocatalysts
86 tions of targeted amplicon and shotgun-based metagenomics approaches to infectious disease diagnostic
87 polymerase chain reaction to high throughput metagenomics, appropriate resources for the analysis of
88 s review, we highlight the benefits of using metagenomics as well as the breadth of conclusions that
89  A high-throughput 16S V1-V2 rRNA gene-based metagenomics assay was developed and evaluated using >13
90                 For S. cerevisiae, we used a metagenomics assembly approach to identify S. cerevisiae
91                                   Using both metagenomics based on virion enrichment and sequence-ind
92  survey of a small agroecosystem using a new metagenomics-based approach involving rolling circle amp
93                          A growing number of metagenomics-based approaches have been used for the dis
94                                  We assessed metagenomics-based microbial associations between 231 pl
95 per, we comprehensively assess approaches to metagenomics-based prediction tasks and for quantitative
96                       By taking advantage of metagenomics, bioinformatics and conventional Sanger seq
97 ntages that single-cell genomics offers over metagenomics, both now and in the near future.
98        These results indicate that 16S V1-V2 metagenomics can greatly simplify diagnosis and accelera
99                          This study suggests metagenomics can help identify denitrification hotspots
100                              Genome-resolved metagenomics can help unravel these complex interactions
101                                     Nanopore metagenomics can rapidly and accurately characterize bac
102 genomics and subsequently as genome-resolved metagenomics, can circumvent this limitation by obtainin
103                                              Metagenomics caused a quantum leap in microbial ecology.
104  from a joint hydrological, geochemical, and metagenomics characterization of a geothermal doublet in
105  is the first scalable, efficient, and rapid metagenomics classification algorithm capable of matchin
106 wrapping of a number of popular command-line metagenomics classification programs (Kraken, CLARK, DIA
107  datasets used to evaluate Kraken, a similar metagenomics classification tool, were used to measure a
108 quencing of known bacterial genomes within a metagenomics community, enriching the remaining species
109          Archaea-targeted PCR sequencing and metagenomics confirmed M. oralis along with 14 bacteria,
110                                              Metagenomics confirmed M. smithii in five blood samples,
111  Normalized viral read counts for untargeted metagenomics correlated with viral burden determined by
112                                      Spatial metagenomics could be used to study microbial biogeograp
113 nomer, an ultrarapid, interactive, web-based metagenomics data analysis tool, with an FDA-cleared res
114 provides useful tools for complex microbiome/metagenomics data analysis.
115 sical and biological approach, combined with metagenomics data and biotechnological advances, will en
116         Next, we used our methods to analyze metagenomics data from 13 human stool samples.
117 ustrate how Keanu works by exploring shotgun metagenomics data from a sample collected from a bluff t
118 te this model with 16S rRNA gene and shotgun metagenomics data from defined bacterial communities.
119         Reconstructing genomic segments from metagenomics data is a highly complex task.
120 f the main challenges when analyzing complex metagenomics data is the fact that large amounts of info
121                                        Using metagenomics data of the infant gut microbiome, we measu
122 rapid, accurate, and interactive analyses of metagenomics data on personal computers and mobile devic
123 t in the data can be useful, especially with metagenomics data or data suspected to be contaminated.
124 ere, Roux and colleagues present time series metagenomics data revealing new virophage genera and the
125 enable timely and accurate analysis of large metagenomics data sets on conventional desktop computers
126  the reconstruction of BGCs from genomic and metagenomics data sets.
127 y genomics, transcriptomics, epigenomics and metagenomics data stored either locally or retrieved fro
128  describe an approach that combines existing metagenomics data with reverse genetics to engineer reag
129  address the main challenges of longitudinal metagenomics data, i.e. high-dimensionality, dependence
130                                 Longitudinal metagenomics data, including both 16S rRNA and whole-met
131                     Despite the abundance of metagenomics data, the functional dynamics of gut microb
132  visualizing and exploring sample content in metagenomics data.
133 least one member associated with the oceanic metagenomics dataset.
134 ate profile of the bacterial population in a metagenomics dataset.
135  built on the combination of Tara with other metagenomics datasets, which results in 235 families wit
136 d orthology prediction of custom genomics or metagenomics datasets.
137                                              Metagenomics delineated greater deglucuronidation capabi
138                                Time-resolved metagenomics demonstrated that an aerobic cellulolytic c
139                                   Untargeted metagenomics detected 86% of known respiratory virus inf
140                      In addition, untargeted metagenomics detected an additional 12 viruses that were
141 plore the application of these techniques to metagenomics, discuss their pros and cons, and speculate
142 red functional components were identified by metagenomics, enabling validation of robust in vivo RNA-
143 ructure and function modeling through marine metagenomics, especially for difficult proteins with few
144 ular genome, which can be crucial when using metagenomics experiments for pathogen detection.
145 on for exploring classification results from metagenomics experiments.
146 rt highlights the utility and limitations of metagenomics for assessing public health risks regarding
147 nical laboratories are evaluating the use of metagenomics for identification of infectious agents dir
148 asets such as those produced with the use of metagenomics for surveillance.
149                            The modern age of metagenomics has delivered unprecedented volumes of data
150                                        While metagenomics has emerged as a technology of choice for a
151                           The field of viral metagenomics has expanded our understanding of viral div
152                                  The rise in metagenomics has led to an exponential growth in virus d
153                                              Metagenomics has made accessible an enormous reserve of
154                                              Metagenomics has opened up a vast pool of genes for puta
155                      Thus, activity-centered metagenomics has revealed diverse enzymes and novel fami
156                                              Metagenomics has revealed hundreds of species in almost
157  Over the past 2 years, MGnify (formerly EBI Metagenomics) has more than doubled the number of public
158 on exists, although single-cell genomics and metagenomics have alleviated some of this bottleneck.
159                                  Advances in metagenomics have associated inflammatory and autoimmune
160 ful culture-independent tools, in particular metagenomics, have substantially advanced virus discover
161                                              Metagenomics helps to overcome this limitation, but it i
162                                              Metagenomics identified more than 22,000 gene families t
163                                              Metagenomics identify distinct bacteria consortia in the
164    NGS methods using (i) unselected HCV RNA (metagenomics), (ii) preenrichment of HCV RNA by probe ca
165 man parvoviruses were recently discovered by metagenomics in Africa, bufavirus (BuV) in 2012 and tusa
166 , providing a powerful complement to shotgun metagenomics in microbial community studies.
167 xplore protocol optimization for leaderboard metagenomics in real samples, we introduce a benchmark o
168 and establishes the value of genome-resolved metagenomics in tracking phase variation.
169 bial life in hydrothermal deposits and their metagenomics-inferred physiology in light of the geologi
170                                              Metagenomics is a cultivation-independent approach that
171                                          EBI metagenomics is a freely available hub for the analysis
172                                              Metagenomics is a powerful tool for assaying the DNA fro
173                                      Shotgun metagenomics is a powerful, high-resolution technique en
174                                              Metagenomics is challenging in samples dominated by host
175 ir experimental identification by functional metagenomics is challenging, mainly due to the difficult
176 arly striking case of a virus discovered via metagenomics is crAssphage, which is by far the most abu
177                                              Metagenomics is currently the primary means for identify
178                                              Metagenomics is the collective DNA sequencing of coexist
179                One of the main challenges in metagenomics is the identification of microorganisms in
180                                              Metagenomics is the study of genetic materials directly
181                              A major goal of metagenomics is to identify and study the entire collect
182 r suited for RNA viruses and virion-enriched metagenomics largely identifying more DNA viruses.
183 al challenge experiments, field surveys, and metagenomics, leading to the conclusion that a densoviru
184                            Recently, ancient metagenomics made it possible to unlock the wealth of mi
185 statistical power of microfluidic-based mini-metagenomics make it a powerful tool to dissect the geno
186 s toward truly quantitative and reproducible metagenomics measurements.
187                        Combining DNA-SIP and metagenomics (metagenomic-SIP) allows us to link genomes
188 rated analysis of multiomics data, including metagenomics, metatranscriptomics and metabolomics, with
189              We perform meta-omics analyses (metagenomics, metatranscriptomics, metaproteomics and me
190 lure samples by means of an original shotgun metagenomics method based on deep sequencing.
191                               We developed a metagenomics method for bacterial LRI diagnosis that fea
192                                      Shotgun metagenomics methods enable characterization of microbia
193 al pipelines have been combined into shotgun metagenomics methods that have transformed microbiology.
194 ter Like for most viruses discovered through metagenomics, most of the basic biological questions abo
195               Despite recent advancements in metagenomics, much of their biodiversity remains unchara
196 otal 730 patients were evaluated by targeted metagenomics (n = 573 patients), digital droplet PCR (n
197                       This work used shotgun metagenomics of mucosal biopsies to explore the microbia
198                                              Metagenomics of patient stool samples at diagnosis revea
199 e Darby Island, The Bahamas using predictive metagenomics of the 16S rRNA gene coupled with direct wh
200 ersity of MDV protists, we performed shotgun metagenomics on 18 sites representing a variety of lands
201  a mass ratio approach and conducted shotgun metagenomics on purified viral samples collected from a
202 ne amplicon sequencing, we performed shotgun metagenomics on the (13)C-labeled DNA to obtain function
203 le for subsequent single-cell genomics, mini-metagenomics or cultivation.
204 ng technologies and new applications such as metagenomics or hybrid assembly.
205                DNA was extracted and shotgun metagenomics performed.
206                                    Bacterial metagenomics profiling for metagenomic whole sequencing
207                        We developed Flint, a metagenomics profiling pipeline that is built on top of
208 s, particularly for evolutionary studies and metagenomics projects.
209  analyze abundances of individual genomes in metagenomics projects.
210                                  Advances in metagenomics, proteomics, metabolomics, and systems biol
211 rom isolate genomes, but culture-independent metagenomics provide a new window into their diversity.
212                                              Metagenomics provide unprecedented insights into the gen
213                                 While faecal metagenomics provided a good approximation of the averag
214 es, including the Sequence Read Archive, the Metagenomics Rapid Annotation through Subsystems Technol
215  and development through our experience with metagenomics-RAST (MG-RAST), the most popular metagenomi
216 onomic and functional inference performed on metagenomics reads, no shift in structure and function o
217                                              Metagenomics research has accelerated the studies of mic
218 , thus promoting convenient and reproducible metagenomics research.
219  This issue also includes updates on popular metagenomics resources, such as MG-RAST, EBI Metagenomic
220  plates on which to conduct culture-enriched metagenomics, resulting in the recovery of greater taxon
221                                          The metagenomics results revealed a distinct gut microbial c
222           Single-cell genomics and community metagenomics revealed that Nitrospinae are the most abun
223 ing amino acid and protein biochemistry with metagenomics revealed that systematic purifying selectio
224 eting different biomolecules, including DNA (metagenomics), RNA (metatranscriptomics) and proteins (m
225 ncing data set to quantify distances between metagenomics samples from various human body habitats, N
226 ic repeats regions from bacterial genomic or metagenomics sequences.
227 ic and gene abundances of short-read shotgun metagenomics sequencing data.
228          We then performed shotgun whole DNA metagenomics sequencing on extracted DNA and taxonomical
229                                              Metagenomics sequencing provides deep insights into micr
230 e applied to conjunctival and gut microbiome metagenomics sequencing results.
231                                     16S rRNA metagenomics sequencing revealed that CB1 blockade drama
232                      Here we applied shotgun metagenomics sequencing to study microbial community dyn
233 d a combination of 16S rRNA gene sequencing, metagenomics sequencing, and mass spectrometry-based met
234 e gut microbiota was analyzed using 16S rRNA metagenomics sequencing.
235  RNA-Seq context is highly applicable in the metagenomics setting.
236    Microbial DNA was isolated, processed for metagenomics shotgun sequencing, and taxonomic and funct
237            Here we use single-cell genomics, metagenomics, single-cell amplicon sequencing, and fluor
238                                        Using metagenomics, single-cell genomics, and metatranscriptom
239 recision, bias and robustness to a number of metagenomics-specific challenges were determined using a
240                                              Metagenomics studies also demonstrated colon microbiota
241            It focuses on recent results from metagenomics studies and discusses the contribution of b
242     Recently, some CE1 enzymes identified in metagenomics studies have been predicted to contain a fa
243 uencing technologies, an increased number of metagenomics studies have suggested the dysbiosis in mic
244                                              Metagenomics studies microbial genomes in an ecosystem s
245 un based next-generation transcriptomics and metagenomics studies often generate 100-1000 GB sequence
246                                              Metagenomics studies provide valuable insight into the c
247                          Despite a wealth of metagenomics studies, methods to leverage these datasets
248                  Motivated by microbiome and metagenomics studies, where the data are often over-disp
249 hich is a more prevalent type of data set in metagenomics studies.
250 e and ankylosing spondylitis, a quantitative metagenomics study based on deep shotgun sequencing was
251 lts from 16S rRNA gene amplicon analysis and metagenomics suggested that disturbances in the system w
252      DcRV was previously identified based on metagenomics surveys for virus discovery.
253 us (DcRV) was previously identified based on metagenomics surveys for virus discovery.
254                               By using viral metagenomics techniques, we screened 251 fecal samples o
255             Despite recent progress in viral metagenomics, the inherent genetic complexity of virus p
256                                              Metagenomics, the sequencing of DNA extracted directly f
257                     Given recent advances in metagenomics, the tools are now at hand to accomplish th
258                                  By coupling metagenomics to a predictive atmospheric model, we aim t
259 lenging cases demonstrated the potential for metagenomics to advance existing methods for investigati
260  gene community analysis and genome-resolved metagenomics to characterize anaerobic wastewater treatm
261 trates the power of integrating DNA-SIP with metagenomics to characterize emerging organic contaminan
262  to assess cell structures and interactions; metagenomics to characterize enrichment taxa, generate m
263              At these sites, we used shotgun metagenomics to characterize microorganisms with the Hg-
264  we combined 16S rRNA sequencing and shotgun metagenomics to characterize the whole-organism microbio
265                    We used amplicon targeted metagenomics to compare microbial communities from EDC a
266 and periodontitis, illustrating the power of metagenomics to define the human virome.
267 ics, toxicology, metabonomics, genomics, and metagenomics to elucidate and validate the mechanism of
268    Furthermore, it demonstrates the power of metagenomics to glean large amounts of comparative data
269 ply paired metaproteomics and dsDNA-targeted metagenomics to identify 1,875 virion-associated protein
270                                 Here, we use metagenomics to identify a family of small circular DNA
271                      Here we use time series metagenomics to identify and study the dynamics of 25 un
272 e isotope probing (SIP) with genome-resolved metagenomics to identify microorganisms associated with
273                       Here we use functional metagenomics to investigate the community composition an
274          In this study, we used genome-based metagenomics to investigate the overall community struct
275 ombine culture-based population genomics and metagenomics to investigate the within-microbiome evolut
276                          We utilized shotgun metagenomics to provide a first description of the resis
277 g spatial variation in host tolerance, using metagenomics to quantify spatial variation in parasite p
278                                Here, we used metagenomics to reconstruct genomes of strains that colo
279                  Here, we use genome-centric metagenomics to recover 17 draft genomes of anammox and
280 ltures, we used single-filament genomics and metagenomics to retrieve draft genomes of 3 marine Candi
281 n of metatranscriptomics and genome-resolved metagenomics to study microbial activities in oil-contam
282 tiple assay technologies including genomics, metagenomics, transcriptomics, proteomics, and metabolom
283                                 Deep shotgun metagenomics unveiled distinct ecological niches of micr
284                                     Targeted metagenomics using strand-specific libraries with target
285 tend the knowledge gained in human gut virus metagenomics (viromics) to disentangle the potential rol
286                                   Functional metagenomics was performed using PICRUSt.
287                      We present a case where metagenomics was used to identify Mycoplasma salivarium
288  about enzymatic chemistry into quantitative metagenomics, we determined the abundance and distributi
289                                        Using metagenomics, we identified 17 novel viruses in Clinch R
290                        Using genome-resolved metagenomics, we identified organisms with hgcA (hgcA+)
291                  Here, using genome-resolved metagenomics, we identify a number of CRISPR-Cas systems
292 ives on in the age of microbial genomics and metagenomics, we propose an automated approach, employin
293    Archaea-specific quantitative (q) PCR and metagenomics were used to detect specific archaeal seque
294 technology has greatly promoted the field of metagenomics where previously unattainable information a
295 The situation is even more severe in shotgun metagenomics, where the contigs are often short, and the
296 s, Nubeam is ideal to analyze data sets from metagenomics whole genome shotgun (WGS) sequencing, wher
297                                        Quasi-metagenomics with nanopore sequencing provided thousands
298 CDS platform is a robust tool for functional metagenomics, with the potential to significantly improv
299                 We present a genome-resolved metagenomics workflow that enabled assembly of bacterial
300  specimens and 1/27 controls (P < .003), and metagenomics yielded archaea, mostly methanogens, in 28/

 
Page Top