ライフサイエンスコーパス: shotgun

1 and ownership of long guns (i.e., rifles or shotguns).

2 -step proteomics strategy of preselection by shotgun analyses, crosschecking in brain tissue samples,

3 Conventionally, shotgun analysis of glycerophospholipids via direct elec

4 A single shotgun analysis produces several hundred of densely pop

5 Proteomic shotgun analysis revealed a total of 515 peptides common

6 Shotgun and 16S ribosomal RNA amplicon sequencing were p

7 nome and a ~38x exome from H. latidens using shotgun and target-capture sequencing approaches.

8 SMfinder can be efficiently applied to shotgun and targeted analysis in metabolomics and lipido

9 ury on index hospitalization, 12% (n = 1076) shotgun, and 64% (n = 5741) semiautomatic gun (P = 0.039

10 fied into 3 groups by firearm type: handgun, shotgun, and semiautomatic rifle.

11 d isomers has limited the application of the shotgun approach.

12 ction of conserved miRNAs from transcriptome shotgun assembled sequences and EST sequences of horsegr

13 Application of this combination to a draft shotgun assembly of the entire bread wheat genome reveal

14 Whole genome shotgun based next-generation transcriptomics and metage

15 ces in applications of targeted amplicon and shotgun-based metagenomics approaches to infectious dise

16 he L2 larval stage, which provided >50-fold "shotgun" cellular coverage of its somatic cell compositi

17 te the differential proteins observed in the shotgun data and to monitor proteins of which we expecte

18 Clustering analysis of shotgun data revealed compositional clusters where the d

19 Shotgun data was subsequently calibrated by targeted mas

20 low number of taxa identified when coupling shotgun data with clade-based taxonomic algorithms, prev

21 ess, but which were absent in the label-free shotgun data.

22 Amplicon and shotgun DNA sequencing data of microbial mats from four

23 Low-cost shotgun DNA sequencing is transforming the microbial sci

24 ased multiple displacement amplification and shotgun DNA sequencing.

25 s ambiguities are common in direct-injection shotgun experiments, where an orthogonal separation (e.g

26 phospholipids in data acquired by LC-MS and shotgun experiments.

27 Here, we present Dual Barcoded Shotgun Expression Library Sequencing (Dub-seq), a metho

28 eak intensity-independent noise filtering in shotgun FT MS and FT MS/MS spectra that capitalizes on a

29 Adding shotgun genome sequences from 40 accessions enables iden

30 four Endogonaceae collections and performed shotgun genome sequencing.

31 an important complement to osteological and shotgun-genomic sex estimation.

32 We present matching osteological, shotgun-genomic, and proteomic data to estimate the sex

33 folia, genotyped F2 plants using multiplexed shotgun genotyping (MSG), and located MSG markers to the

34 , and core modifications; and the human lung shotgun glycan microarray.

35 ized, separated, and used to generate an egg shotgun glycan microarray.

36 To better define these responses, we used a shotgun glycomics approach in which N-glycans from schis

37 Nonetheless, shotgun has complementary advantages that should be weig

38 -9 for these same HMOs established using the shotgun human milk glycan microarray (HM-SGM-v2) showed

39 This was generated using whole-genome shotgun Illumina reads plus in vitro proximity ligation

40 cation of a combined affinity chromatography shotgun immunoproteomic approach to identify antigens th

41 teome was monitored by label-free proteomics shotgun in GB-infested and uninfested control plants at

42 Here, we develop a "Shotgun" Ion Mobility Mass Spectrometry Sequencing (SIMM

43 Here we use ancient DNA extraction methods, shotgun library preparation, and next generation Illumin

44 Our approach combines an Illumina shotgun library, Oxford nanopore long reads, and chromos

45 functional proteome strategy along with the shotgun lipidome approach for the identification of acti

46 This study showed that the shotgun lipidomic approach along with NL scans is a usef

47 Shotgun lipidomics analysis performed on mutant alleles

48 t the protein level, mass spectrometry-based shotgun lipidomics analysis showed significant differenc

49 While shotgun lipidomics can be a sensitive approach to FA det

50 Shotgun lipidomics has recently gained popularity for li

51 Quantitative bottom-up shotgun lipidomics relies on molecular species-specific

52 Shotgun lipidomics relies on the direct infusion of tota

53 ss spectrometry after direct infusion (i.e., shotgun lipidomics).

54 spray ionization spectrometry, also known as shotgun lipidomics, has emerged as a rapid and powerful

55 eric lipids has become a high impact goal in shotgun lipidomics.

56 the diet on the brain lipidome, we performed Shotgun Lipidomics.

57 ajor bottleneck in high-throughput bottom-up shotgun lipidomics.

58 y RNA sequencing, targeted metabolomics, and shotgun lipidomics.

59 liquid chromatography-mass spectrometry, and shotgun lipidomics.

60 We employed shotgun liquid chromatography-mass spectrometry (LC-MS)

61 of 3,733 compounds with 48,278 proteins in a shotgun manner.

62 , SL/vulnerable, and LL/resilient rats using shotgun metagenome sequencing and observed increased exp

63 bial taxonomic and functional diversity with shotgun metagenome sequencing.

64 Metagenome sequences were obtained using shotgun metagenome sequencing.

65 Shotgun metagenomes are often assembled prior to annotat

66 ure and ecology of E. rectale and shows that shotgun metagenomes can enable population genomics studi

67 ods to integrate 24-h food records and fecal shotgun metagenomes from 34 healthy human subjects colle

68 ction of bacterial and archaeal genomes from shotgun metagenomes has enabled insights into the ecolog

69 Shotgun metagenomes of DNA extracted from human fecal sa

70 ility of microbial genomes and environmental shotgun metagenomes provides unprecedented access to the

71 Soil DNA was extracted, and shotgun metagenomes were sequenced and characterised usi

72 nts computationally predicted from assembled shotgun metagenomes.

73 pplying it to >800 soil and plant-associated shotgun-metagenomes.

74 omes and enables accurate and cost-effective shotgun metagenomic analyses of human gastrointestinal m

75 Shotgun metagenomic analysis functionally linked 26 meta

76 Shotgun metagenomic analysis identified a variety of Mic

77 arbon source, which prompted us to perform a shotgun metagenomic analysis in a cohort of elite athlet

78 Shotgun metagenomic analysis reveals that each sediment

79 plied longitudinal sampling and whole-genome shotgun metagenomic analysis to 1,679 gut microbiota sam

80 We used shotgun metagenomic analysis to determine whether dysbio

81 ercial analytic platforms that can interpret shotgun metagenomic data are emerging.

82 otation pipeline designed to take unfiltered shotgun metagenomic data as input and generate functiona

83 However, shotgun metagenomic data from treatment-naive patients a

84 Functional annotation of shotgun metagenomic data has become an increasingly popu

85 gene sequences, recovered from 29 planktonic shotgun metagenomic datasets.

86 mmunity composition and metabolic potential, shotgun metagenomic libraries were sequenced from low an

87 gap, we performed untargeted metabolomic and shotgun metagenomic profiling of cross-sectional stool s

88 e the best thresholds based on how simulated shotgun metagenomic reads of known composition map onto

89 tegrate gut microbiome 16S rRNA amplicon and shotgun metagenomic sequence data with quantification of

90 140) were quantified with 16S rRNA gene and shotgun metagenomic sequencing (n = 101 six weeks, n = 1

91 We performed shotgun metagenomic sequencing analyses of feces from wi

92 al microbiome composition and function using shotgun metagenomic sequencing and phenotypes of T cells

93 to the NanoOK RT software package to perform shotgun metagenomic sequencing and profile mock communit

94 Here, we examined metrics derived from shotgun metagenomic sequencing and relationship to human

95 Shotgun metagenomic sequencing and untargeted metabolomi

96 We previously demonstrated that shotgun metagenomic sequencing can detect bacteria in so

97 Shotgun metagenomic sequencing can detect nucleic acids

98 ficult to obtain at scale, while amplicon or shotgun metagenomic sequencing data are readily availabl

99 d the CosmosID bioinformatics platform using shotgun metagenomic sequencing data derived from 408 son

100 tages of metagenomic-SIP over a conventional shotgun metagenomic sequencing experiment.

101 Shotgun metagenomic sequencing has revolutionized our ab

102 Shotgun metagenomic sequencing identified 144 AMR genes

103 Genome assembling of mouse and human shotgun metagenomic sequencing identified bacterial sial

104 The removal of human genomic reads from shotgun metagenomic sequencing is a critical step in pro

105 In this issue, Dudek et al. show that shotgun metagenomic sequencing of a less-well-studied en

106 We performed shotgun metagenomic sequencing of five stages of pulque

107 Shotgun metagenomic sequencing of neonatal faeces indica

108 Shotgun metagenomic sequencing of the gut microbiome of

109 the origin of these viral populations using shotgun metagenomic sequencing of virus-enriched prepara

110 We performed shotgun metagenomic sequencing of virus-like particles.

111 Assembly of PCR-free shotgun metagenomic sequencing produced a circular genom

112 Shotgun metagenomic sequencing provides an opportunity t

113 We retrospectively reviewed results of shotgun metagenomic sequencing testing requested on cere

114 In this study, we used shotgun metagenomic sequencing to characterise the micro

115 Shotgun metagenomic sequencing was used to measure the m

116 itative PCR, 16S rRNA gene metabarcoding and shotgun metagenomic sequencing were used to track faecal

117 These communities are often examined via shotgun metagenomic sequencing, a technology which can o

118 dentifying bacterial sequences than standard shotgun metagenomic sequencing, and is able to successfu

119 e applied 16S ribosomal RNA gene sequencing, shotgun metagenomic sequencing, in vitro functional assa

120 Pooled-template shotgun metagenomic sequencing, quantitative PCR, and is

121 transplant in 13 donor-recipient pairs using shotgun metagenomic sequencing.

122 ay microbiome, we used 16S ribosomal RNA and shotgun metagenomic sequencing.

123 encing of the 16S rRNA gene and whole genome shotgun metagenomic sequencing.

124 d eukaryotic communities via marker gene and shotgun metagenomic sequencing.

125 amples from the first year after birth using shotgun metagenomic sequencing.

126 geographically and technically diverse fecal shotgun metagenomic studies of colorectal cancer (CRC, n

127 poration of DNA methylation information into shotgun metagenomics analyses will complement existing m

128 s measured and fecal DNA was sequenced using shotgun metagenomics and analyzed with specifically desi

129 ir rumen microbial composition by performing shotgun metagenomics and de novo assembly of metagenome-

130 ogenetic analysis of fungi and bacteria with shotgun metagenomics and extracellular enzyme assays.

131 y by analyzing 16S rRNA microbial profiling, shotgun metagenomics and SCFAs in 153 fecal samples from

132 We used a shotgun metagenomics approach to investigate the taxonom

133 Shotgun metagenomics approaches additionally can provide

134 , we illustrate how Keanu works by exploring shotgun metagenomics data from a sample collected from a

135 e validate this model with 16S rRNA gene and shotgun metagenomics data from defined bacterial communi

136 ect guts, providing a powerful complement to shotgun metagenomics in microbial community studies.

137 Shotgun metagenomics is a powerful, high-resolution tech

138 ment failure samples by means of an original shotgun metagenomics method based on deep sequencing.

139 Shotgun metagenomics methods enable characterization of

140 putational pipelines have been combined into shotgun metagenomics methods that have transformed micro

141 This work used shotgun metagenomics of mucosal biopsies to explore the

142 the diversity of MDV protists, we performed shotgun metagenomics on 18 sites representing a variety

143 rRNA gene amplicon sequencing, we performed shotgun metagenomics on the (13)C-labeled DNA to obtain

144 taxonomic and gene abundances of short-read shotgun metagenomics sequencing data.

145 Here we applied shotgun metagenomics sequencing to study microbial commu

146 At these sites, we used shotgun metagenomics to characterize microorganisms with

147 species, we combined 16S rRNA sequencing and shotgun metagenomics to characterize the whole-organism

148 Deep shotgun metagenomics unveiled distinct ecological niches

149 quencing; 285 fecal samples were analyzed by shotgun metagenomics, and 60 fecal samples were analyzed

150 The situation is even more severe in shotgun metagenomics, where the contigs are often short,

151 and of two historical baboons from a zoo via shotgun metagenomics.

152 tadpole surface microbiome was assessed with shotgun metagenomics.

153 ures that are not discernible by traditional shotgun methods and have consequently promoted the disco

154 nted onto epoxy glass slides as an O-glycome shotgun microarray.

155 ed two pools of sera that were analysed by a shotgun MS approach based on combinatorial peptide ligan

156 ed, representing a significant challenge for shotgun-MS approaches.

157 We developed a top-down shotgun-MS method utilizing gas-phase ion/ion charge inv

158 sing a high-throughput screening technology (shotgun mutagenesis) to create and evaluate 852 variants

159 n targeted amplicon and unbiased metagenomic shotgun NGS approaches.

160 eration sequencing techniques - amplicon and shotgun - on water samples across four of Brazil's major

161 We have used the shotgun Phage Display (PD) technology to identify candid

162 Here, quantitative shotgun phosphoproteomics provided high-throughput analy

163 dynamic range of full-lipidome quantitative shotgun profiling.

164 Using direct infusion-shotgun proteome analysis (DI-SPA) by data-independent a

165 r matrisome proteins and performed bottom-up shotgun proteomic analyses.

166 ecular pathways in CAPN5-NIV using unbiased, shotgun proteomic analysis rather than targeted detectio

167 ht cutoff (MWCO) filtration step followed by shotgun proteomic analysis.

168 Here, we used a shotgun proteomic approach to characterize the proteins

169 On the other hand, different gel-based and shotgun proteomic methods have been utilized to assign g

170 thod displayed superior sensitivity over the shotgun-proteomic approach, and it facilitated the quant

171 eir tryptic digestion products sequenced via Shotgun proteomics (Q-Exactive mass spectrometer).

172 We performed shotgun proteomics analyses of aortas of transgenic mice

173 In parallel, we performed shotgun proteomics and bioinformatics studies on extract

174 Shotgun proteomics and informatics were used to identify

175 s with <50,000 cells/mL were investigated by shotgun proteomics and label-free quantitation.

176 tion procedure using trypsin digestion and a shotgun proteomics approach.

177 e protein concentrations were determined via shotgun proteomics by spiking crude membrane extracts of

178 Shotgun proteomics data are available via ProteomExchang

179 sensitive searches for modified peptides in shotgun proteomics data.

180 ave steadily led to increased performance in shotgun proteomics experiments.

181 ere identified and analyzed using label-free shotgun proteomics followed by in silico analysis, using

182 To do this, we used label-free shotgun proteomics for protein and peptide quantitation,

183 In this study, we applied shotgun proteomics for the identification and quantifica

184 quid chromatography-tandem mass spectrometry shotgun proteomics have been proposed.

185 Quantitative shotgun proteomics identified hundreds of differentially

186 Correlating results obtained using shotgun proteomics in the pediatric and adult KD cohorts

187 Here, we present large-scale shotgun proteomics profiling of tomato fruit across two

188 However, quantitative shotgun proteomics revealed differences in the abundance

189 Shotgun proteomics technique was used to understand degr

190 inflammation in KD adults with giant CAA by shotgun proteomics that revealed a signature of active i

191 mbined with glycocapture and high throughput shotgun proteomics to define the surface proteome of hum

192 We used LC-MS/MS shotgun proteomics to identify proteins involved in aero

193 peaks of peptides adducted by NAPQI and for shotgun proteomics via tandem mass spectrometry (MS/MS).

194 Label-free shotgun proteomics was applied to comprehensively charac

195 Shotgun proteomics was performed on 9 KD adults with gia

196 Comparative plasma shotgun proteomics was performed with tandem mass tag (T

197 Shotgun proteomics was used on the same samples to evalu

198 In this study, LC-MS/MS shotgun proteomics was used to identify changes in the p

199 g with mass spectrometry identification, and shotgun proteomics with label-free quantification.

200 Quantitative 2D gel-based and shotgun proteomics, 1D and 2D immunoblotting, and quanti

201 e glycosylated nascent chains, combined with shotgun proteomics, allows us to identify a set of endog

202 Here, we used shotgun proteomics, OxICAT and RNA-seq transcriptomics t

203 identified in serum digests by conventional shotgun proteomics, probably due to very low abundance o

204 was conducted using mass spectrometry-based shotgun proteomics, transcriptomics, and glycomics metho

205 ric forms while retaining compatibility with shotgun proteomics.

206 ly used method for peptide identification in shotgun proteomics.

207 interpret expression data in microarray and shotgun proteomics.

208 ique) followed by image analysis, RT-PCR and shotgun proteomics.

209 ve solution by using analogous approaches to shotgun proteomics.

210 supports mitochondrial proteome analysis by shotgun proteomics.

211 m mass spectrometry to generate an unbiased, shotgun-proteomics view of protein identities and abunda

212 fore, the Fe-IMAC protocol was embedded in a shotgun-proteomics workflow and applied to serum spiked

213 sembled genome sequences and unassembled NGS shotgun reads as input, and wraps the output in a standa

214 clearly challenging the dogma that mid-depth shotgun recovers more diversity than amplicon-based appr

215 We integrated shotgun redox proteomics, structural systems biology, an

216 lost, survivors of semiautomatic rifle- and shotgun-related injuries suffer long-term mental health

217 ction status, viral load, age, and sex among shotgun RNA sequencing profiles of nasopharyngeal (NP) s

218 We have generated a new wheat whole-genome shotgun sequence assembly using a combination of optimiz

219 e results from new low-coverage whole-genome shotgun sequence data from five hunter-gatherers and fiv

220 divulgatum isolates from different sites and shotgun sequence data of Parys Mountain samples suggests

221 Finally, using shotgun sequence data we assessed indicators of diet fro

222 ies 83% of genera by abundance across 13,490 shotgun-sequenced metagenomic samples, improves taxonomi

223 6S rRNA (16S) gene database with metagenomic shotgun sequences promises unbiased identification of kn

224 on extracted DNA and taxonomically assigned shotgun sequences using a human microbiome reference.

225 benchmarking against the synthetic and real shotgun sequences, we demonstrated that full-length 16S

226 ences in the near-terabase-scale metagenomic shotgun sequences, which markedly improve metagenomic da

227 evious work has demonstrated that direct RNA shotgun sequencing (RNA-Seq) can be used to circumvent t

228 We applied an RNA shotgun sequencing (RNA-Seq) method without PCR amplific

229 syringae pv. maculicola Whole transcriptome shotgun sequencing analysis of the systemic leaves after

230 ze draws similar conclusions from 16S versus shotgun sequencing and reveals both known and candidate

231 AFS uses metagenomic shotgun sequencing and sequence read counting to infer s

232 Whole-genome shotgun sequencing and sequencing analysis of the gene e

233 ther development is required for metagenomic shotgun sequencing and targeted sequencing to be widely

234 We incorporated a more powerful metagenomic shotgun sequencing approach rather than a targeted ampli

235 phylogenetic regression on 16S amplicon and shotgun sequencing data and to visualize results.

236 etection and identification from metagenomic shotgun sequencing data derived from sonicate fluid for

237 onal reconstruction of genome sequences from shotgun sequencing data has been greatly simplified by t

238 been under-explored. Using whole-metagenome shotgun sequencing data in 1,004 twins, we first observe

239 By analyzing 16S rRNA and whole metagenome shotgun sequencing data in tandem with culture-based met

240 ng STR markers directly from high-throughput shotgun sequencing data without a reference genome, and

241 o classify microorganisms using whole-genome shotgun sequencing data, comprehensive comparisons of th

242 including both 16S rRNA and whole-metagenome shotgun sequencing data, enhanced our abilities to under

243 n after (included in the whole transcriptome shotgun sequencing dataset) the systemic challenge.

244 of DNA for many uses, including metagenomic shotgun sequencing for infection diagnosis.

245 Metagenomic shotgun sequencing for the identification of pathogens i

246 ched healthy controls, and whole metagenomic shotgun sequencing from 24 MS subjects (all newly diagno

247 Metagenomic shotgun sequencing identified 268 bacterial taxa at the

248 Metagenomic shotgun sequencing is a new tool to identify organisms u

249 Whole metagenome shotgun sequencing is a powerful approach for assaying t

250 ethods for identifying CDS from whole-genome shotgun sequencing is not fully established.

251 tative genetic analysis through whole-genome shotgun sequencing of 300 gene bank accessions.

252 Through massive shotgun sequencing of circulating cell-free DNA from the

253 pecies in the langur genus Presbytis through shotgun sequencing of faecal DNA (P. femoralis femoralis

254 a literature survey and empirical study how shotgun sequencing of faecal DNA is a still underutilize

255 Shotgun sequencing of microbial communities, referred to

256 Here, we applied whole-genome shotgun sequencing of microbial DNA extracted directly f

257 nomic next-generation sequencing (mNGS), the shotgun sequencing of RNA and DNA from clinical samples,

258 (pulsed-field gel electrophoresis [PFGE]) to shotgun sequencing of the entire genome (whole-genome se

259 Shotgun sequencing of vaginal swabs from postmenopausal

260 encing overcomes this drawback by untargeted shotgun sequencing of whole metagenomes at affordable co

261 is assembled from single-molecule, real-time shotgun sequencing reads collinear with an optical map.

262 mated benchmarking workflow, using synthetic shotgun sequencing reads for which we know the true CDS

263 Metagenomic shotgun sequencing revealed that strain-level variation

264 Whole-genome shotgun sequencing reveals a small number of genomic seq

265 Shotgun sequencing showed high classification agreement

266 Three commercial metagenomic shotgun sequencing tools, CosmosID, One Codex, and IDbyD

267 Whole transcriptome shotgun sequencing was performed to determine differenti

268 uantitative metagenomics study based on deep shotgun sequencing was performed, using gut microbial DN

269 mic (16S ribosomal RNA gene and whole-genome shotgun sequencing) approaches to 144 nasopharyngeal air

270 proaches were compared including metagenomic shotgun sequencing, 16S rRNA gene pyrosequencing and clo

271 rdered-clone genome sequencing, whole-genome shotgun sequencing, and BioNano optical genome mapping,

272 DNA was isolated, processed for metagenomics shotgun sequencing, and taxonomic and functional profile

273 via amplicon sequencing were recovered from shotgun sequencing, clearly challenging the dogma that m

274 D without PSC, were subjected to metagenomic shotgun sequencing, generating 17 billion paired-end seq

275 ibosomal RNA gene sequencing and metagenomic shotgun sequencing, have been applied to profile microbi

276 obiome and resistome using 16S rRNA gene and shotgun sequencing.

277 initive microbial analyses using metagenomic shotgun sequencing.

278 omal RNA amplicon sequencing and metagenomic shotgun sequencing.

279 ubjected them to high-coverage, whole-genome shotgun sequencing.

280 rated datasets from 16S and whole metagenome shotgun sequencing.

281 ntal microbiomes using ultradeep metagenomic shotgun sequencing.Methods: Airway specimens from 85 ind

282 Here we describe the shotgun-sequencing of ancient DNA from five specimens of

283 moved more than 95% of signals detectable in shotgun spectra without compromising the accuracy and sc

284 Using deep shotgun stool metagenomics analysis, we found a rapid in

285 Using deep shotgun stool metagenomics analysis, we found a rapid in

286 ation of PCs in a bovine liver extract via a shotgun strategy.

287 Shotgun tandem mass spectrometry has been demonstrated t

288 k, we describe a novel strategy that couples shotgun tandem mass spectrometry with gas-phase ion chem

289 We employed metabolic (15)N labeling and shotgun ultra-high-resolution mass spectrometry (sUHR) t

290 n regression analysis, semiautomatic gun and shotgun victims had higher odds of developing ASD/PTSD u

291 sequencing projects, including whole genome shotgun (WGS) and environmental sampling projects.

292 sequencing projects, including whole genome shotgun (WGS) and environmental sampling projects.

293 cultivar IT97K-499-35 include a whole-genome shotgun (WGS) assembly, a bacterial artificial chromosom

294 De novo assembly of whole genome shotgun (WGS) next-generation sequencing (NGS) data bene

295 as a model system, we analyzed whole genome shotgun (WGS) sequences for the two maize inbred lines B

296 t ( approximately 10,000 cells) whole-genome shotgun (WGS) sequencing of Mycobacterium tuberculosis a

297 yze data sets from metagenomics whole genome shotgun (WGS) sequencing, where the amount of unmapped r

298 We then performed shotgun whole DNA metagenomics sequencing on extracted D

299 Despite advances in shotgun whole-genome metagenomic methods, oral bacterial

300 Shotgun whole-genome sequencing and ultra-performance li