ライフサイエンスコーパス: genome analysis

1 iation information of defense genes from pan-genome analysis.

2 allow for wide-ranging application of whole-genome analysis.

3 nd is useful both in gene-specific and whole-genome analysis.

4 re different analytical strategies from bulk genome analysis.

5 llelization required for concurrent multiple genome analysis.

6 aching and training in the area of microbial genome analysis.

7 S) is very important for conducting in-depth genome analysis.

8 ies in obtaining sufficient parasite DNA for genome analysis.

9 Five potential chitinases were identified by genome analysis.

10 on the basis of ancestry derived from whole-genome analysis.

11 e to the assembly and affect the accuracy of genome analysis.

12 eat genome have been substantial barriers to genome analysis.

13 logenies congruent with those based on whole genome analysis.

14 on of ncRNAs in combination with comparative genome analysis.

15 ium (LD) blocks, genes, or pathways in whole-genome analysis.

16 r binding sites is an important challenge in genome analysis.

17 their identification remains a challenge for genome analysis.

18 nity resource for comparative and functional genome analysis.

19 n would complement other approaches to human-genome analysis.

20 iation studies and applicable to comparative genome analysis.

21 re routine clinical application of CLL whole-genome analysis.

22 escape detection with current approaches to genome analysis.

23 aleable molecular confinement approaches for genome analysis.

24 utational requirements that allows for whole genome analysis.

25 rmatics platform, with tools and viewers for genome analysis.

26 nments (MSAs) are a fundamental operation in genome analysis.

27 e-related biomedical studies, such as cancer genome analysis.

28 and primer on deep learning applications for genome analysis.

29 n of bulk segregant analysis and comparative genome analysis.

30 ral DNA repair pathways by transcriptome and genome analysis.

31 r both pre-computed and user-supplied custom genome analysis.

32 ted by the sequence read length during whole-genome analysis.

33 ure curation, computational text mining, and genome analysis.

34 enome is an important challenge for personal genome analysis.

35 genome), which is further used in downstream genome analysis.

36 d within clade 3, based on phylogenetic core genome analysis.

37 ecome a very useful high throughput tool for genome analysis.

38 y high potential to become a useful tool for genome analysis.

39 80%) are lower than those obtained by whole-genome analysis (68 to 87%).

40 ity and reduced costs of sequencing has made genome analysis accessible to more and more researchers.

41 Advances in genome analysis, accompanied by the assembly of large pa

42 ought together substantial advances in human genome analysis and a maturation of understanding of tum

43 Here, we present a new comparative genome analysis and a thorough genetic analysis of SSV1

44 , teaching courses and training in microbial genome analysis and analysis of genomes related to the H

45 We have addressed this disparity between genome analysis and biological evidence through a struct

46 ecovery was evaluated by quantitative vector genome analysis and cellular transduction assays.

47 By using genome analysis and deletion experiments, the biosynthet

48 Finally, we perform a full human genome analysis and discover that 35.5% of human promote

49 e insertion and deletions (<10 Kb) for whole genome analysis and DNA mixtures.

50 el fish species should facilitate structural genome analysis and evolutionary studies, but more impor

51 in a sequenced genome is essential both for genome analysis and for realization of the goals of syst

52 provide a natural framework for comparative genome analysis and functional annotation.

53 user interface to access a number of common genome analysis and gene structure tools, preconfigured

54 On the basis of genome analysis and homeodomain identity, we propose tha

55 quencing data production has become routine, genome analysis and interpretation remain challenging en

56 genomes becomes an important goal of cancer genome analysis and investigations into mechanisms respo

57 Whole-genome analysis and laboratory experiments revealed a hi

58 used for a variety of applications including genome analysis and metabolic engineering.

59 functional variants, we employed comparative genome analysis and obtained evidence for the existence

60 Here we show by comparative genome analysis and phylogenetic reconstruction of 229 i

61 By comparative genome analysis and subsequent polymerase chain reaction

62 ficiency of commonly used models for disease genome analysis and suggest considering genetic interact

63 gene transfer (HGT) revealed by comparative genome analysis and their theoretical implications.

64 highlight its adaptive strategies, based on genome analysis and transcriptome profiling.

65 Multidimensional cancer genome analysis and validation has defined Quaking (QKI)

66 h microsatellite genotyping, a mitochondrial genome analysis, and deep sequencing of the DFTD transcr

67 l genes and presages future studies by whole-genome analysis; and (3) a functional genomics approach

68 e, and our lessons learned porting a complex genome analysis application to ADAM and Spark.

69 t on several public databases and a suite of genome analysis applications are provided as exemplary g

70 tructure-based techniques with a comparative genome analysis approach to improve the prediction perfo

71 Whole-genome analysis approaches are identifying recurrent can

72 dentified and many substances predicted from genome analysis are inaccessible due to their life stage

73 Based on genome analysis as well as the results from previous gen

74 gned to automate the main steps in microbial genome analysis-assembly, gene prediction, functional an

75 Genome analysis at the single cell level offers the oppo

76 As whole-genome sequencing for cancer genome analysis becomes a clinical tool, a full understa

77 Genome analysis becomes a two-step process: using a prio

78 We performed comparative genome analysis between zebrafish and medaka, common car

79 The draft genome analysis broadly expands our knowledge on the bio

80 ilable for either ARGs identification or pan-genome analysis, but few exist to combine the two functi

81 Whole-genome analysis by 62-strain microarray showed variation

82 f Plasmodium falciparum and subsequent whole-genome analysis can be used to find the targets of some

83 As comparative genome analysis can provide novel insights into gene evo

84 This demonstrates that whole-genome analysis can track in fine detail the behavior of

85 e already only feasibly stored at specialist genome analysis centers.

86 Understanding citrus phylogeny through genome analysis clarifies taxonomic relationships and fa

87 Thus, prediction based on genome analysis combined with isolation and structural c

88 Comparative genome analysis confirmed that a new EV-D68 strain belon

89 Whole genome analysis, confirmed at the protein level, reveale

90 poB, sodA, and recN genes; comparative whole-genome analysis; conventional biochemical and Rapid ID 3

91 n outbreak isolates from the E. coli O104:H4 Genome Analysis Crowd-Sourcing Consortium website, and a

92 Successful genome analysis depends on the quality of gene predictio

93 The genome analysis described here provides new insights int

94 HGVA serves as a proof-of-concept of the genome analysis developments being carried out by the Un

95 Pan-genome analysis displayed low gene conservation and sign

96 psychiatric disorders are resistant to whole-genome analysis due to genetic and etiological heterogen

97 stimulation were investigated by using whole-genome analysis, ELISA, and flow cytometry.

98 The chromosome-based genome analysis enabled us to establish a model of spurg

99 Family-based genome analysis enabled us to narrow the candidate genes

100 Genome analysis facilitated the further classification o

101 his study we performed an integrative, whole-genome analysis for discovery of epigenetically activate

102 t advances in genome sequencing, comparative genome analysis, functional genome exploration, and the

103 The genome analysis further identified a putative ion-transl

104 Large-scale phenotyping and genome analysis further show strong industry-specific se

105 roduce isoprenoids from mevalonate; however, genome analysis has failed to identify several genes in

106 Within plants, this is controversial, as genome analysis has identified 56 putative GPCRs, includ

107 lution; however, the full potential of whole-genome analysis has not been realized because of inadequ

108 Comparative genome analysis has revealed a new family of B. burgdorf

109 phenotype annotation followed by individual genome analysis has the potential to identify genetic mo

110 Results of genome analysis have revealed differences between animal

111 iven the significance of ssDNA stretching in genome analysis, here we report an ssDNA stretching plat

112 Here, we developed a HUman Pan-genome ANalysis (HUPAN) system to build the human pan-ge

113 Pan-genome analysis identified 10,110 homologous gene cluste

114 A whole-genome analysis identified a further cluster of 2 infect

115 Genome analysis identified a number of novel sequence ty

116 The data derived from the global genome analysis identified phospholipase C-delta1 as an

117 The genome analysis identified the chromosomal locations of

118 Whole-genome analysis identified the presence of a homozygous

119 Kyoto Encyclopedia of Genes and Genomes analysis identified six enriched pathways.

120 pidly advance to become platforms capable of genome analysis if elements of a nascent system can be i

121 Computation may become the bottleneck of genome analysis if growing alignment costs are not mitig

122 aching and training in the area of microbial genome analysis (IMG/EDU).

123 Here, we use whole-genome analysis in 37 fly species belonging to 22 differ

124 ed at Argonne National Laboratory, for whole genome analysis in a platform designed to better match c

125 ying a framework for large-scale comparative genome analysis in catfish.

126 An unbiased genome-to-genome analysis in chronic hepatitis C virus (HCV) infec

127 This has provided a powerful tool for genome analysis in large-genome unsequenced agricultural

128 and provide decent power for whole exome or genome analysis in Pharmacogenetics (PGx) studies with s

129 gate, we here combine in vitro evolution and genome analysis in Saccharomyces cerevisiae with molecul

130 Genome analysis in two other related species, Noccaea ja

131 Modern whole-organism genome analysis, in combination with biomass estimates,

132 Genome analysis indicated that the new species Brucella

133 Genome analysis indicates that this organism shares more

134 Viral genome analysis indicates unusually low CpG dinucleotide

135 13 has emerged independently in Guyana, with genome analysis indicating an evolutionary origin distin

136 Whole genome analysis is limited for HPV35; no such studies ha

137 Information derived from pathogen genome analysis is providing tools for use in diagnosis

138 However, most genome analysis is typically confined to the nuclear gen

139 ic predictions on the scale needed for whole-genome analysis is, however, extremely computationally d

140 Genome analysis, knockout studies and structural compari

141 Large-insert genome analysis (LIGAN) is a broadly applicable, high-th

142 Here, we developed a single-cell genome analysis method that reconstructs genome-wide hap

143 developments in sequencing technologies and genome analysis methods for application in personalized

144 We review and compare three whole-genome analysis methods that use mixed linear models (ML

145 hway knowledge to support genome annotation, genome analysis, modeling, systems biology, basic resear

146 pathway knowledge to support basic research, genome analysis, modelling, systems biology and educatio

147 Advances in genome analysis, network biology, and computational chem

148 Using proteonomic genome analysis, new candidate tumor markers have been i

149 scalability and utility of RaGOO with a pan-genome analysis of 103 Arabidopsis thaliana accessions b

150 Whole-genome analysis of 11 sexual and 11 asexual genotypes of

151 olates and conduct the largest bacterial pan-genome analysis of 249 genomes.

152 Through whole genome analysis of 257 individuals, we demonstrated arti

153 A core-genome analysis of 26 bacterial species identifies sever

154 Here, we report the comparative genome analysis of 29 taxonomically and biotechnological

155 Furthermore, the whole-genome analysis of 30 individuals (42-fold deep coverage

156 Here, we report a whole-genome analysis of 331 Sd1 isolates from around the worl

157 nt fC-CET, a bisulfite-free method for whole-genome analysis of 5fC based on selective chemical label

158 Here we present the first such whole genome analysis of 60 globally distributed strains, from

159 Here we report the whole-genome analysis of a cartilaginous fish, the elephant sh

160 However, using whole-genome analysis of a global collection of clinical isola

161 This study presents whole-genome analysis of a homogenous isolate population with

162 A recent comprehensive whole genome analysis of a large breast cancer cohort was used

163 Whole-genome analysis of a methicillin-resistant S. aureus (MR

164 Genome analysis of a sex locus and other gene clusters h

165 f our knowledge, this is the first report on genome analysis of a thermophilic Geobacillus species fo

166 Our study is a whole-genome analysis of all protein-coding genes in 12 Drosop

167 irst report of transcriptome and chloroplast genome analysis of any Anacardiaceae family member.

168 We present the genome analysis of barley powdery mildew, Blumeria grami

169 ctive ligninolysis, we conducted comparative genome analysis of C. subvermispora and P. chrysosporium

170 tion sequencing techniques which allow whole genome analysis of chromatin structure and sequence-spec

171 ortholog clustering tool) is a tool for pan-genome analysis of closely related prokaryotic species o

172 Although initial genome analysis of crAssphage failed to detect related p

173 Genome analysis of diverse human populations has contrib

174 Here we report a whole-genome analysis of DNA methylation profiles in fresh-fro

175 Using a systematic, whole-genome analysis of enhancer activity of human-specific e

176 However, a comparative genome analysis of Francisella tularensis allowed us to

177 A comprehensive whole-genome analysis of gene function by transposon mutagenes

178 By the whole genome analysis of genes and polymorphisms, we found tha

179 croarray analysis to provide the first whole-genome analysis of genes regulated by ATF4 in cancer cel

180 Whole-genome analysis of H3N2 viruses isolated from pigs from

181 Recent genome analysis of human prostate cancers demonstrated t

182 e explained by markers was 0.06 in the whole genome analysis of IBK incidence classified as two, thre

183 Targeted and whole-genome analysis of M. bovis isolates indicated the emerg

184 genomic islands (RDIs), using a comparative genome analysis of meningitis-causing E. coli K1 strain

185 Thus, genome analysis of Msa. thermophila presents new researc

186 Complete genome analysis of Mycoplasma pneumoniae revealed the pr

187 We report here a detailed, whole-genome analysis of one such infection, that of a cystic

188 Genome analysis of other epidemic ST313 isolates from Ma

189 SOILoCo provides a powerful tool for de novo genome analysis of outcrossing species.

190 Whole-genome analysis of over 100 additional clones selected f

191 Whole-genome analysis of PM1 revealed an approximately 4-Mb ci

192 genome (~8 Gb) and its regional importance, genome analysis of rye has lagged behind other cereals.

193 Finally, we apply the device to genome analysis of single cells and microbial consortia

194 ding was mirrored by data obtained from full-genome analysis of strains sequentially cultured from no

195 to presenting results of the first complete-genome analysis of the breakthrough infections in the RV

196 ned molecular analyses and comparative whole genome analysis of the most diverse of the bullfrog stra

197 We show here that whole-genome analysis of the parasite can be achieved directly

198 Here, the full-genome analysis of the prototype HAdV-C6 and a recently

199 Whole genome analysis of this bacterial strain revealed the pr

200 Our Dendrix algorithms scale to whole-genome analysis of thousands of patients and thus will p

201 a few loci in many strains or low-resolution genome analysis of three clonal lineages.

202 Whole-genome analysis of three viral isolates (11SB17, 11SB19

203 Here we report a whole-genome analysis of two animals originating from extreme

204 nd is well suited for whole-transcriptome or genome analysis of uncharacterized plants.

205 The whole-genome analysis of WSUCF1 was performed to disclose the

206 on of enzymatic sequences in newly sequenced genomes, analysis of organism-specific metabolic network

207 enables estimation of the divergence between genomes, analysis of their evolution and detection of pa

208 formed whole-genome sequencing (WGS) and pan-genome analysis on all bacteria.

209 g bacterial infection, we performed complete genome analysis on three newly isolated multidrug-resist

210 ntified polymorphisms is too small for whole genome analysis or studies of quantitative trait loci.

211 mining pipeline, Integrative Next-generation Genome Analysis Pipeline (inGAP), guided by a Bayesian p

212 gement system capable of executing automated genome analysis pipelines at a massive scale.

213 cing (NGS) data, and for constructing custom genome analysis pipelines.

214 such as VCF, for compatibility with existing genome analysis pipelines.

215 SpeedSeq is an open-source genome analysis platform that accomplishes alignment, va

216 SC Genome Browser and the Galaxy large-scale genome analysis platform.

217 With long-range genome analysis platforms, such as optical mapping, one

218 Consistently with physiology, the genome analysis points to F. acidiphilum Y(T) having an

219 , as genomic technologies move towards whole-genome analysis, policy arguments for patent protection

220 New genome analysis presented here reveals further features

221 Compared with present single cell genome analysis, probing the protein content of single c

222 e of the major findings of ENCODE, and other genome analysis projects, is that the human transcriptom

223 oduct was achieved by using a combination of genome analysis, promoter exchange, isotopic labeling ex

224 reesei in its competitive soil habitat, but genome analysis provided little mechanistic insight into

225 In conclusion, mt genome analysis provided new insights into the phylogeny

226 nch of chordopoxvirus so far discovered, the genome analysis provided substantial insight into the ev

227 Whole genome analysis requires the alignment and comparison of

228 Genome analysis revealed 27 genes possibly linked to the

229 Pan-genome analysis revealed 983 genes in 323 genomic island

230 Genome analysis revealed a link between its endophytic l

231 Genome analysis revealed an open reading frame predicted

232 Further genome analysis revealed chromosome structural variation

233 Genome analysis revealed genes that likely encode the id

234 Comparative whole genome analysis revealed high sequence homogeneity among

235 Whole-genome analysis revealed substantial diversity within ST

236 Comparative genome analysis revealed that maize depends on a single

237 Genome analysis revealed the existence of 29 putative gl

238 uences already existing in public databases, genome analysis reveals a significantly higher degree of

239 ult to characterize, but this is changing as genome analysis reveals their genes, and methylome analy

240 This comprehensive whole-genome analysis serves as a resource for future studies

241 Genome analysis should allow the discovery of interdepen

242 Southern blots and genome analysis show that Sp-SPCA is a single copy gene.

243 C. difficile genome analysis showed that 12 genes potentially encode

244 Genome analysis showed that Leishmania species, unlike T

245 Whole-genome analysis showed that O-glycosylated proteins and

246 Kyoto Encyclopedia of Genes and Genomes analysis showed that the ribosome pathway was si

247 We conclude that large-scale genome analysis shows that miRNAs have many more unique

248 TimeZone, a genome analysis software package, is designed to detect

249 lt to identify by other approaches to cancer genome analysis, such as downstream targets of commonly

250 Intriguingly, the genome analysis suggests a closer phylogenetic relations

251 Comparative genome analysis suggests that TICAM1 and TICAM2 evolved

252 that supported the growth of KLE1738, and a genome analysis supported a GABA-dependent metabolism me

253 of optical mapping, a single-molecule, whole-genome analysis system, to discover new structural varia

254 rovide a scalable approach for comprehensive genome analysis that is not possible using short reads a

255 high-throughput method for single-cell whole-genome analysis that was used to measure the genomic div

256 From genome analysis this mechanism is both ancient and wides

257 Inbred animals were historically chosen for genome analysis to circumvent assembly issues caused by

258 is study demonstrates the necessity of whole-genome analysis to complement population/gene-based stud

259 To fill this void, we utilize comparative genome analysis to identify candidate enhancer elements

260 lates from 4 continents, and performed a pan-genome analysis to identify the core genome and, from th

261 We performed a comparative genome analysis to systematically estimate recent lineag

262 The Prokaryotic-genome Analysis Tool (PGAT) is a web-based database appl

263 After applying QC filtering based on Genome Analysis Tool Kit (GATK) best practices, we used

264 variant quality score recalibration from the Genome Analysis Tool Kit and the RNA-seq variant-calling

265 e2, and Novoalign--and four variant callers--Genome Analysis Tool Kit HaplotypeCaller (GATK-HC), Samt

266 resulting data processed and annotated with Genome analysis Tool.

267 Use of the Genome Analysis Toolkit (GATK) continues to be the stand

268 rform as well or better than the widely used Genome Analysis Toolkit (GATK) in all key measures of pe

269 Here, we discuss our Genome Analysis Toolkit (GATK), a structured programming

270 ive different variant detection programs-The Genome Analysis Toolkit (GATK), CRISP, LoFreq, VarScan,

271 processed by standard read aligners and the Genome Analysis Toolkit (GATK), longer indels have still

272 es by synthesizing variant features from the Genome Analysis Toolkit and allele dosage information.

273 pair using the Burrows-Wheeler Aligner, the Genome Analysis Toolkit, and MuTect packages.

274 uding the UnifiedGenotyper included with the Genome Analysis Toolkit, samtools and FreeBayes.

275 lication of these tools, instantiated in the Genome Analysis Toolkit, to deep whole-genome, whole-exo

276 eal when compared with those produced by the Genome Analysis Toolkit.

277 equences provide templates for the design of genome analysis tools in orphan species lacking sequence

278 Its design allows the development of novel genome analysis tools, such as the Resistance Gene Ident

279 everal well-established and freely available genome-analysis tools, and outputs the most likely causa

280 Integrated whole-genome analysis uncovered that molecular subtypes are li

281 Whole-genome analysis using any categorisation of (two, three

282 and 98.65, 92.57, 87.26% F1-score for whole-genome analysis, using Illumina, PacBio, and Oxford Nano

283 Median time to genome analysis was 5 days (range 3-153) and median time

284 Whole genome analysis was performed using the Ilumina Human HT

285 ty assessment of microbial strains via whole-genome analysis was proposed.

286 eration approach for noninvasive fetal whole-genome analysis was validated in a pregnancy diagnosed w

287 Employing whole-genome analysis we have characterized a large family of

288 By genome analysis we identified the genes for seven compon

289 Using a combination of BAC sequencing and genome analysis, we discovered three Pax6 genes in lampr

290 t overcoming the existing limitations in CLL genome analysis, we have analyzed high-purity DNA isolat

291 Using comparative genome analysis, we identified multiple genomic regions

292 By comparative genome analysis, we predict specific functions of CARF a

293 Using complete genome analysis, we sequenced five bladder tumors accrue

294 The pan-genome analysis, whereby the size of the gene repertoire

295 s been designed as a powerful tool for whole genome analysis which offers multiple advantages: one ca

296 nonmodel species such as catfish, functional genome analysis will have to rely heavily on the establi

297 Whole-genome analysis with ChIP and DNA microarray analysis (C

298 th "paired-end" methods, has enabled a whole-genome analysis with essentially unlimited resolution.

299 this problem by a combination of comparative genome analysis with verification experiments in the mod

300 trics have recently been used in comparative genome analysis, yet challenges remain in finding an app