ライフサイエンスコーパス: NGS

1 NGS can then be used to sequence the 3'-end of each mess

2 NGS data in addition to limited serological data provide

3 NGS did not demonstrate additional minority K103N-varian

4 NGS methods using (i) unselected HCV RNA (metagenomics),

5 NGS on 26 additional triple-negative ETs detected only 1

6 NGS produced 14 new complete genomes, which included pur

7 NGS strategies have expanded our ability to investigate

8 NGS was performed for 4 of 6 pairs with identical strain

9 alysis: raw data of 1539 microarrays and 705 NGS blood-borne miRNomes were statistically evaluated, s

10 es, giving hierarchical relationships across NGS datasets and separating individual genomic features

11 Although NGS has the ability to detect rare or novel variants not

12 , target choice), analytical (amplification, NGS), and postanalytical (immunoinformatics) phases.

13 ur species were prepared and subjected to an NGS approach targeting two short cytochrome b gene (cytb

14 ts to comprehensively build, run and analyze NGS data through double-clickable executables without th

15 s to access already processed microarray and NGS data from non-human primate models of viral hemorrha

16 With the rapid development of microarray and NGS technology, LA analysis combining multiple gene expr

17 ficity, making it a useful complement to any NGS pipeline dealing with the analysis of the morbid hum

18 l BIG DATA including gene expression arrays, NGS and medical images so that they can be analyzed in t

19 The multiplex PCR-based NGS is useful and robust to acquire viral genomic sequen

20 A novel multiplex PCR-based NGS was developed to gather whole genome sequences of Ha

21 There are concerns to be addressed before NGS can replace existing tools used for pathogen detecti

22 Furthermore, the depth afforded by NGS enabled novel techniques for measuring the associati

23 But data generated by NGS platforms necessitate quality control, genome assemb

24 Using the data generated by NGS, the presence of newly evolved, yet known, strains o

25 through WGS that had not been identified by NGS diagnostic testing for the 46 individuals with IRD.

26 RPGR exon 15 that would have been missed by NGS.

27 e detection of rare DNA sequence variants by NGS.

28 tic spike-in controls that help to calibrate NGS measurements and to evaluate diagnostic performance.

29 l CNV calling method designed to use capture NGS data.

30 dentify CNVs of different size using capture NGS data.

31 The target gene capture/NGS assay provides an average read depth of approximatel

32 over, the availability of direct-to-consumer NGS services is fuelling a rise of 'citizen scientists',

33 DEEPER-Seq can create NGS libraries from as little as 20 pg DNA with PCR error

34 isualization) pipeline to analyze the CRISPR NGS data in a high throughput manner.

35 pact of genomic profiling of tumors by ctDNA NGS, greatly encouraging broader investigations of the a

36 enetic abnormalities not revealed by current NGS analysis.

37 e-causing genetic variants missed by current NGS diagnostic methodologies for IRD and thereby demonst

38 ent genomic mutation profiling with a custom NGS assay (MSK-IMPACT) between March 2014 and July 2015.

39 Ultra-deep NGS reports over the past year have redefined the premal

40 Using ultra-deep NGS, we identified somatic mutations in DNA extracted bo

41 b targeted genome assembly; ii) demonstrated NGS of BAC pools as a potential approach for mining cand

42 upporting the application of custom-designed NGS panel in clinic and indicate a conserved genetic sus

43 se epilepsy families using a custom-designed NGS panel that covers 412 known and candidate genes for

44 uniform workflow interface across different NGS applications, automated report generation, and suppo

45 Consensus sequences generated by different NGS methods were generally concordant, and majority RAVs

46 s autism, schizophrenia and bipolar disorder NGS cohorts demonstrating their impact on neurodevelopme

47 rage values at each genomic feature for each NGS dataset.

48 or comparison to a fourth lineage on earlier NGS technology.

49 n-seq, an ultrasensitive and high-efficiency NGS library preparation method for discovering de novo,

50 One of the essential NGS applications is to identify disease-causing sequence

51 high-throughput analysis, the EuroClonality-NGS Consortium has been formed, with the main objectives

52 s underwent macrodissection, DNA extraction, NGS, and analysis using a pipeline centred on Torrent Su

53 tive, both the Agena panel and Thermo Fisher NGS fusion panel reported minor fusions that were not de

54 vel genotyping studies as well as a flexible NGS-based replacement for SNP arrays.

55 setting, and it includes considerations for NGS test validation, quality control procedures, profici

56 opedia, which would serve as a reference for NGS sequencing report interpretation and would be availa

57 d annotation of human mtDNA data coming from NGS experiments.

58 rmed MitoDel, to detect mtDNA deletions from NGS data.

59 uct and analyze human mitochondrial DNA from NGS data and (iii) the implementation of the Reconstruct

60 , and culminating in empirical evidence from NGS data that well-defined carcinogen mutational signatu

61 y, fully characterizing viral evolution from NGS datasets requires haplotype reconstruction across la

62 on-V600) BRAF mutations were identified from NGS databases at three large molecular genetics referenc

63 ORIO through diverse examples, ranging from NGS data quality control to characterization of enhancer

64 action of reproducible analysis results from NGS experiments.

65 addresses the need to modularize and govern NGS pipelines for Precision Medicine.

66 es who successfully underwent clinical-grade NGS (236-404 genes) in an academic tertiary cancer cente

67 However, NGS data interpretation is associated with challenges th

68 A)-based target enrichment to vastly improve NGS-based rare variant detection.

69 etection thresholds and increase coverage in NGS analyses.

70 ge lists of mutations typically generated in NGS experiments.

71 rapidly increasing data volumes involved in NGS make any dataset manipulation a time-consuming and e

72 rent in the biological processes involved in NGS technology necessitates the development of statistic

73 ecommend using this software as a QC step in NGS studies.

74 This high-throughput, sequence-independent NGS approach facilitated the detection of a diverse rang

75 Duplicate samples as well as two individual NGS runs produced very similar results.

76 tools have been developed since introducing NGS data, there are few tools for somatic CNV detection

77 st for storing and manipulating single locus NGS data, there is currently no file standard or analysi

78 Longitudinal NGS analyses revealed changes in HIVDR mutations in all

79 equencing, automated analysis pipelines make NGS accessible to molecular laboratories regardless of t

80 ill accelerate progress in the quest to make NGS technologies relevant to breast cancer treatment.

81 timate mapping quality of ambiguously mapped NGS reads.

82 mprehensive tool for the analysis of massive NGS datasets.

83 d and sequenced the products using the MiSeq NGS platform.

84 ational load can be identified via multigene NGS tumor profiling, which provides a highly accurate me

85 Here, we reported a novel NGS pipeline, termed a Sequencing System of Digitalized

86 For 32/66 samples, we obtained NGS data and we observed two additional mismatches made

87 It also highlights the ability of NGS to clarify molecular microevolutionary events within

88 However, accessibility of NGS data remains a problem, and few user-friendly resour

89 ueling further technological advancements of NGS technology.

90 cal principles, ensures rigorous analysis of NGS data and is essential for its future clinical use.

91 resources exist for integrative analysis of NGS data from different sources and experimental techniq

92 However, the analysis of NGS data remains a major obstacle to the efficient utili

93 rDict will greatly facilitate application of NGS in clinical cancer research.

94 The application of NGS in IRD clinical molecular diagnosis provides a power

95 While the benefits of NGS are significant, the complexities of these assays re

96 However, calibration of NGS somatic analysis tools has been hampered by a lack o

97 ing to the speed and the plummeting costs of NGS-based methods, mapping and cloning a mutation of int

98 dance to study the diversity and dynamics of NGS-based TCR repertoire profiling in a clinical context

99 Finally, feasibility of NGS for routine analysis of GM crops was investigated by

100 rds and guidelines for the implementation of NGS in the clinical and public health laboratory setting

101 dPCR-based quantification for improvement of NGS quality.

102 erface for rapid analysis and integration of NGS data.

103 However, the interpretation of NGS data remains challenging owing to the size and compl

104 nspection, validation, and interpretation of NGS datasets, as well as other types of genomic data.

105 and can therefore increase the proportion of NGS reads for low-abundance targets.

106 st practices that help ensure the quality of NGS-based tests are emerging.

107 omated report generation for a wide range of NGS applications.

108 O2n-seq reduces the error rate of NGS to 10(-5)-10(-8).

109 h of 3 independent biological repetitions of NGS of RNA from fibroblasts and neurons productively inf

110 upervised analysis by DOMINO of real sets of NGS data from individuals with intellectual disability o

111 edicated to the individual analysis steps of NGS experiments, insufficient resources are currently av

112 1 or 2 candidate variants among thousands of NGS calls.

113 However, translation of NGS into routine cancer care has been slow.

114 ble of running the analysis of most types of NGS applications from start-to-finish in a time-efficien

115 erall results demonstrated the usefulness of NGS for species identification in food products and its

116 rs are unclear about the clinical utility of NGS and are concerned it could be an expensive addition

117 ods to estimate the order of the MC based on NGS reads and evaluate those using simulations.

118 While myriad variants on NGS techniques and bioinformatic pipelines are available

119 One NGS-identified sequence common to both bioinformatics an

120 However, no optimal NGS approach is available to conveniently analyze low fr

121 We conclude that orthogonal NGS offers improvements in variant calling sensitivity w

122 In particular, NGS datasets sampled during the initial months of infect

123 In particular, NGS has yielded direct estimates of mutation rates, and

124 ial artificial clone (BAC) and human patient NGS data to identify CNVs.

125 In our implementation, preassembled NGS contigs are used to derive the compact representatio

126 261 patients by using the Ion Torrent Proton NGS sequencing platform.

127 (IGV) was one of the first tools to provide NGS data visualization, and it currently provides a rich

128 urce dedicated to gather isomiRs from public NGS data and to provide functional analysis of these iso

129 elial cell-specific DNA/RNA for quantitative NGS analysis.

130 in mammals that exploits previously reported NGS data.

131 Exosomal RNA NGS revealed that of 15 different classes of transcripts

132 , by developing an exquisite ultra-sensitive NGS (USNGS) platform "EasyMF" and incorporating it with

133 he past decade, next-generation sequencing ( NGS) technologies were improved by longer sequence reads

134 -generation massive-parallel DNA sequencing (NGS) analysis did not detect these genetic abnormalities

135 Next generation sequencing (NGS) allows investigating mitochondrial DNA (mtDNA) char

136 Employing deep next generation sequencing (NGS) analysis of nucleotide polymorphisms we discovered

137 ctural analysis, next generation sequencing (NGS) analysis, computational drug discovery, medical inf

138 ion criteria for next-generation sequencing (NGS) analysis.

139 n large-scale or next-generation sequencing (NGS) and bioinformatics for data analysis have resulted

140 pite advances in next-generation sequencing (NGS) and bioinformatics, detecting rare mutations in pri

141 We used Next Generation Sequencing (NGS) and CLC Genomics Workbench to assemble complete chl

142 were analyzed by next generation sequencing (NGS) and post-processing with signaling pathway impact a

143 ened by targeted next-generation sequencing (NGS) and then validated by Sanger sequencing.

144 We used next-generation sequencing (NGS) and whole-exome sequencing (WES) to identify 2 nove

145 ssessed by using next-generation sequencing (NGS) and with a greater depth of sampling than single-ge

146 Next-generation sequencing (NGS) approaches are commonly used to identify key regula

147 Next-generation sequencing (NGS) approaches to parasite genotyping allow sensitive d

148 ere selected for next-generation sequencing (NGS) by a modified HIV-switching mechanism at the 5' end

149 to test whether next-generation sequencing (NGS) can be a solution for the authentication of mixed p

150 Next-generation sequencing (NGS) can overcome some of these problems but has limited

151 me shotgun (WGS) next-generation sequencing (NGS) data benefits from high-quality input with high cov

152 f microarray and next generation sequencing (NGS) data for analysis can be difficult.

153 Here we analyzed next-generation sequencing (NGS) data for small RNAs in VZV-infected fibroblasts and

154 ach to analyzing next-generation sequencing (NGS) data for the identification of rare mutations enric

155 ant calling from next-generation sequencing (NGS) data is susceptible to false positive calls due to

156 erage, targeted, next-generation sequencing (NGS) data of paired tumor and blood samples from 8,810 i

157 is best used for next-generation sequencing (NGS) data that lack reference genomes.

158 ng pipelines for next-generation sequencing (NGS) data.

159 STR profiling in next-generation sequencing (NGS) data.

160 associated with Next Generation Sequencing (NGS) data.

161 erogeneity using next-generation sequencing (NGS) data.

162 cation of ASE in next-generation sequencing (NGS) data.

163 clonality using next generation sequencing (NGS) data.

164 ic variants from next generation sequencing (NGS) data.

165 Next generation sequencing (NGS) discovered age-related clonal hematopoiesis of inde

166 made possible by next generation sequencing (NGS) due to its multiplexing.

167 ve PCR (qPCR) or next generation sequencing (NGS) due to the presence of competing wild type sequence

168 data coming from next generation sequencing (NGS) experiments.

169 Using next-generation sequencing (NGS) for full genomic characterization studies of the ne

170 s the utility of next generation sequencing (NGS) for predicting toxicity and clinical response to th

171 s the utility of next-generation sequencing (NGS) for viral characterization and surveillance.

172 a-derived EVs by next generation sequencing (NGS) from limited quantities of patient-derived clinical

173 Two targeted next-generation sequencing (NGS) gene panels, one composed of 56 genes and the other

174 e application of next-generation sequencing (NGS) genomic testing for somatic mutations in breast onc

175 Next generation sequencing (NGS) has been increasingly applied to characterize viral

176 Next Generation Sequencing (NGS) has been widely implemented in biological research

177 Targeted next-generation sequencing (NGS) has been widely used as a cost-effective way to ide

178 Next generation sequencing (NGS) has ignited an unprecedented pace of discovery in t

179 e application of next-generation sequencing (NGS) has provided an enormous volume of high-resolution

180 Next-generation sequencing (NGS) has revolutionized how research is carried out in m

181 n clinical-grade next-generation sequencing (NGS) have fueled the advancement of precision medicine i

182 emonstrated that next-generation sequencing (NGS) in pathogen detection is moderately correlated with

183 Next generation sequencing (NGS) is a powerful technology to define genomic sequence

184 microarrays and next-generation sequencing (NGS) is known.

185 lecules early in next-generation sequencing (NGS) library construction provides a way to identify and

186 processed using next-generation sequencing (NGS) methodologies by targeting RNA transcripts, and the

187 es combined with next-generation sequencing (NGS) methods enable accurate and extensive studies of th

188 Next generation sequencing (NGS) methods have been broadly applied for analyzing pat

189 karyotyping and next-generation sequencing (NGS) of 85 genes in pretreatment blood samples obtained

190 tion followed by next-generation sequencing (NGS) of associated RNA molecules.

191 be possible with next-generation sequencing (NGS) of blood-derived circulating tumor DNA (ctDNA), but

192 Next-generation sequencing (NGS) of complete STLV genome sequences from these T cell

193 l profiling used next generation sequencing (NGS) of the 16S rRNA gene.

194 Next generation sequencing (NGS) of the TCRs can be used as a platform to profile th

195 Next-generation sequencing (NGS) provides a broad investigation of the genome, and i

196 The use of next-generation sequencing (NGS) provides a comprehensive way of concurrently screen

197 mic variation in Next Generation Sequencing (NGS) results.

198 as confirmed if next-generation sequencing (NGS) revealed clonality of strains.

199 lse positives in next-generation sequencing (NGS) screens, we developed DOMINO, a tool assessing the

200 Next Generation Sequencing (NGS) strategies, like RNA-Seq, have revealed the transcr

201 rare variants in next-generation sequencing (NGS) studies are fundamentally challenging due to the pr

202 In many next-generation sequencing (NGS) studies, multiple samples or data types are profile

203 e sequencing and next-generation sequencing (NGS) targeted on JAK2 and MPL.

204 cs studies using next generation sequencing (NGS) technique have identified a large number of genetic

205 he adaptation of next-generation sequencing (NGS) techniques to deciphering SLC sequences.

206 Advances in next-generation sequencing (NGS) technologies allow comprehensive studies of genetic

207 ut the advent of next-generation sequencing (NGS) technologies has altered the landscape of current g

208 Next generation sequencing (NGS) technologies have dramatically improved studies in

209 Next-generation sequencing (NGS) technologies have driven recent progress in these a

210 eaper and faster next-generation sequencing (NGS) technologies have taken preference over the traditi

211 high-throughput, next-generation sequencing (NGS) technologies, a deeper analysis of Ig and/or TCR (I

212 e development of next generation sequencing (NGS) technologies.

213 fication through next generation sequencing (NGS) technologies.

214 s to advances in next-generation sequencing (NGS) technologies.

215 dy, we applied a next generation sequencing (NGS) technology (Ion Torrent) for species identification

216 cent advances in next-generation sequencing (NGS) technology enable researchers to collect a large vo

217 Next-generation sequencing (NGS) technology has demonstrated that the cancer genomes

218 We used next generation sequencing (NGS) technology to study environmental fate of Bacillus

219 The tools of next-generation sequencing (NGS) technology, such as targeted sequencing of candidat

220 form followed by next-generation sequencing (NGS) technology, we find that RNA expression differs bet

221 t the ability of next-generation sequencing (NGS) to detect and distinguish between ten modified base

222 and longitudinal next-generation sequencing (NGS) to determine their profiles for the mutations K103N

223 tion studies use next-generation sequencing (NGS) to examine the interactions between two loci on the

224 mplification and next-generation sequencing (NGS) to generate genome-wide repair maps.

225 owed by targeted next-generation sequencing (NGS) to identify causative mutations contributing to the

226 use of targeted next-generation sequencing (NGS) to obtain drug resistance profiles directly from pa

227 acteria by using next-generation sequencing (NGS) to survey the diversity of a denitrification functi

228 ms with Illumina next-generation sequencing (NGS) to test hundreds of thousands of MLV Env mutants fo

229 transition from next generation sequencing (NGS) to third generation sequencing (3GS) has been diffi

230 sers to work with new generation sequencing (NGS) transcriptomic analysis results using an ontology-d

231 Next Generation Sequencing (NGS) was subsequently done to check for any association

232 Next generation sequencing (NGS) was used to define the global RNA profile of serum

233 FTA cards using next-generation sequencing (NGS), aiming for high sequence coverage, efficiency, and

234 We combine next generation sequencing (NGS), capillary electrophoresis and pyrosequencing under

235 y referred to as next generation sequencing (NGS), mean the entire cancer genome or parts of it can n

236 testing, such as next-generation sequencing (NGS), often identifies mutations with unclear clinical o

237 Utilizing next-generation sequencing (NGS), we screened mutations in known retinal disease-cau

238 Next-generation sequencing (NGS)-based circulating tumor DNA (ctDNA) assays have pro

239 hed and emerging next generation sequencing (NGS)-based technologies allow for genome-wide interrogat

240 one analysis and Next-Generation Sequencing (NGS)-based transcript profiling, we have isolated and ch

241 Using a next-generation sequencing (NGS)-powered genomic scan, we show that gene transfers t

242 iting sites from next-generation sequencing (NGS).

243 ly the advent of next-generation sequencing (NGS).

244 ic testing using next-generation sequencing (NGS).

245 ) using targeted next-generation sequencing (NGS).

246 me feasible with next generation sequencing (NGS).

247 families without next-generation sequencing (NGS).

248 e-analyzed using next generation sequencing (NGS).

249 s using targeted next-generation sequencing (NGS).

250 in the genome by next-generation sequencing (NGS).

251 eloped to mine "next-generation" sequencing (NGS) data to detect deletions and quantify their clonal

252 e workflow platform that can analyze several NGS datasets commonly used in genome biology studies.

253 Since NGS sequencing data may be accompanied by genotype data

254 Moreover, since NGS and 3GS data can compensate for each other, our hybr

255 To use ORIO, the user specifies NGS data of interest along with a list of genomic coordi

256 t an order of magnitude faster than standard NGS genotyping pipelines.

257 s are frequently used in biological studies, NGS data analysis remains a challenging, time-consuming,

258 These data support NGS as a first-line tool for genetic evaluation of patie

259 from patient sputum samples using a tabletop NGS technology and automated data analysis to provide a

260 Subsequent targeted NGS in 24 discordant sibling pairs identified 17 nonsyno

261 The targeted NGS PID gene panel is a sensitive and cost-effective dia

262 Targeted-NGS on genes commonly mutated in IPMN and PDAC was perfo

263 ophoresis and pyrosequencing under the term 'NGS+' for typing Y-STRs and Y-chromosomal single nucleot

264 nal PCR or serology were not isolated by TGC-NGS, suggesting that further validation is required befo

265 Here we report the use of TGC-NGS assays for the detection and characterization of div

266 amples, the capacity and practicality of TGC-NGS in a veterinary diagnostic setting have not yet been

267 We conclude that TGC-NGS offers great potential as a broad multiplex pathogen

268 It is envisaged that NGS+ will revolutionize forensic pedigree searches, espe

269 The fact that NGS reads are generally short makes it challenging to as

270 The NGS data set of the Salmonella enterica strains were use

271 STRScan is particularly useful for the NGS-based targeted STR profiling, e.g., in genetic and h

272 ensure high reproducibility standards in the NGS era.

273 easurements but were not found in any of the NGS experiments of the same individual.

274 GFR-TKI-resistant NSCLC, suggesting that the NGS-based ctDNA assay might be an optional method to mon

275 Therefore, NGS data must be interpreted by multidisciplinary decisi

276 nts, Agena LungFusion panel and ThermoFisher NGS fusion panel) to those obtained from ALK, ROS1 and R

277 f the 14 patients intolerant to thiopurines, NGS identified deleterious TPMT variants in 5 individual

278 This NGS method has been successfully implemented to generate

279 With error prone high throughput NGS reads and genomic repeats, the assembly graph contai

280 tudy compared the ability of high-throughput NGS methods to generate full-length, deep, HCV sequence

281 e, and validate the entire workflow of IG/TR NGS assays for 1) clonality assessment, 2) minimal resid

282 lly discuss pitfalls and challenges of IG/TR NGS methodology and its applications in hemato-oncology

283 ta mining of the vast compilations of tumour NGS data succeeded in separating and precisely defining

284 screening capacity of current ultrasensitive NGS methods is inadequate owing to either low-efficiency

285 h assembled genome sequences and unassembled NGS shotgun reads as input, and wraps the output in a st

286 Although the chemical technology underlying NGS is complex, and the computational biology expertise

287 9,643 patients with metastatic CRC underwent NGS testing.

288 systematic analysis of several commonly used NGS datasets including ChIP-seq, RNA-seq, MNase-seq, DNa

289 To simplify the analysis of widely used NGS applications, the package provides pre-configured wo

290 ly segregating Usher syndrome type 1 (USH1), NGS of genes for Usher syndrome, deafness and retinal dy

291 Using NGS, positive results were obtained in 32% of 146 patien

292 Using NGS, we identify distinct mechanisms for development of

293 Here, using NGS and human and mouse genetics, we show that influenza

294 lines for family-based disease studies using NGS data focus on a specific function, such as identifyi

295 sembly approach that simultaneously utilizes NGS and 3GS data to address both issues.

296 ets and, more generally, low diversity viral NGS datasets.

297 Whereas NGS can reduce costs over Sanger sequencing, automated a

298 ntly as DNA and RNA can be interrogated with NGS is lacking and this hampers more comprehensive views

299 oup and Y-STR haplotype can be obtained with NGS+.

300 HLA typing with NGS should prove useful to select participants for preve