ライフサイエンスコーパス: genomics

1 usion of more diverse individuals in medical genomics.

2 ers working in various areas of genetics and genomics.

3 s transforming genome editing and functional genomics.

4 e CGC to investigate key questions in cancer genomics.

5 remained a critical question in evolutionary genomics.

6 l catfish genetic enhancement and functional genomics.

7 spired the age of genetics, epigenetics, and genomics.

8 from both statistical genetics and clinical genomics.

9 o exploit the 'big data' available in modern genomics.

10 tabase, at a time of rapid advances in virus genomics.

11 have emerged as a major tool for functional genomics.

12 lity of this collection for plant functional genomics.

13 n pathogen, is a Gram-positive workhorse for genomics.

14 asive reference bias into the field of human genomics.

15 have initiated studies on single tumor cell genomics.

16 studies is among the most common analyses in genomics.

17 ny implications for evolutionary and medical genomics.

18 zed somatic-mutation analysis in single-cell genomics.

19 ion medicine has been nearly synonymous with genomics.

20 nalysis is a fundamental tool in comparative genomics.

21 es in DNA nanotechnology and single-molecule genomics: (1) we describe a labeling technique (CRISPR-C

22 r sequencing patient samples and study their genomics aberrations.

23 the American College of Medical Genetics and Genomics (ACMG) and the Association for Molecular Pathol

24 cal barriers to enable broader deployment of genomics across many basic research and translational ap

25 Comparative genomics analyses executed by powerful computer algorith

26 Here we show, using integrated imaging-genomics analyses of primary human fibroblasts, that upr

27 re-based virtual screening with the chemical genomics analysis of drug molecular signatures, and iden

28 ommodate the needs of larger-scale microbial genomics analysis, while expanding GI predictions and im

29 ing demand for cloud-computing solutions for genomics analysis.

30 ided continuous support to the international genomics and biomedical communities through a web-based,

31 Single-cell genomics and community metagenomics revealed that Nitros

32 is an important tool for mosquito functional genomics and comparative gene expression studies, which

33 The GRN approach has advanced the fields of genomics and development, and we identify organizational

34 es from movement ecology, landscape genetics/genomics and ecoimmunology may provide new avenues for i

35 d in the advancement of tools for functional genomics and elucidation of the biosynthesis of triterpe

36 data" revolution having already happened in genomics and environment, and eventually arriving in med

37 with other approaches, including comparative genomics and environmental field work, laboratory evolut

38 e Education Alliance-Phage Hunters Advancing Genomics and Evolutionary Science (SEA-PHAGES) is an iRE

39 The comparative genomics and experimental study, presented here, allows

40 We also found a correlation between tumor genomics and functional activation, which deserves more

41 troviruses are versatile tools in functional genomics and gene therapy.

42 s an important incremental step for clinical genomics and genetic epidemiology since it is the first

43 that has been identified through comparative genomics and is believed to be a metalloribozyme having

44 ection of rubber related traits, comparative genomics and marker-assisted selection for the breeding

45 Here, using a combination of comparative genomics and molecular clock analyses, we show that phot

46 to uncovering gene function using functional genomics and other approaches.

47 develop machine-learning approaches based on genomics and other relevant accessible information for u

48 inter- and intraspecific plastid comparative genomics and phylogenomic relationships within a family-

49 esource available for the broader functional genomics and population genetics communities, we develop

50 an invaluable tool to accelerate functional genomics and proteomic research in monocot and dicot spe

51 This, the LSS genomics and proteomics data for UniProt proteins is pro

52 The number of genomics and proteomics experiments is growing rapidly,

53 tes, together with recent advances in cancer genomics and single-cell molecular analysis, have facili

54 cold activity were identified by comparative genomics and substituted with evolutionarily conserved r

55 Emerging technologies, such as genomics and synthetic biology, are enabling new ways fo

56 es an approach that is the nexus of chemical genomics and synthetic biology.

57 In this study, we used comparative genomics and transcriptome analysis of citrate-producing

58 s by more than 5-log10 in <24 h, comparative genomics and transcriptomics revealed differences in the

59 Herein, we used different omics (genomics and transcriptomics) to identify novel biomarke

60 amplification methods facilitate single-cell genomics and transcriptomics, the characterization of me

61 e adoption of next-generation sequencing for genomics and transcriptomics.

62 Recent developments in genetics, genomics, and computational methods used with archaeal m

63 ng transformed by contemporary neuroscience, genomics, and digital approaches.

64 ronchiectasis Registry Integrating Datasets, Genomics, and Enrolment into Clinical Trials) registry i

65 l knowledge from model organisms, functional genomics, and integrative approaches can empower the dis

66 rganisms for studying parasitism, parasitoid genomics, and mating biology.

67 pharmacokinetics, toxicology, metabonomics, genomics, and metagenomics to elucidate and validate the

68 Using metagenomics, single-cell genomics, and metatranscriptomic analyses, we provide ev

69 w advances in synthetic biology, single cell genomics, and multiscale modeling, which, when synthesiz

70 ms, as well as the electronic health record, genomics, and other disparate sources.

71 tion of knowledge on the identity, function, genomics, and phylogenetic relationships of insect-bacte

72 drug discovery, medical informatics, cancer genomics, and systems biology.

73 nderstanding of the epidemiology, diagnosis, genomics, and treatment options for LMS.

74 iable size and coverage depth for functional genomics application.

75 ensive solution for large-scale and targeted genomics applications alike.

76 The present study uses an integrative genomics approach to explore mechanistic changes in earl

77 ies and applied a predictive and comparative genomics approach to find candidate variants that may ha

78 ied an integrated data-mining and functional genomics approach to identify a rheostat of DNA and RNA

79 Herein, we used a biochemical and functional genomics approach to identify the sand fly salivary comp

80 To address this, we took a comparative genomics approach to study AUG and non-AUG uORFs.

81 Using a genomics approach we identify the transcription factor s

82 Using a genomics approach, we identified the transcriptional net

83 The use of chemical genomics approaches allows the identification of small m

84 e aetiopathogenesis and outline genetics and genomics approaches that are helping catalyse a much-nee

85 Here we discuss the use of functional genomics approaches that integrate transcriptomic, epige

86 Discoveries emerging from population genomics are identifying new disease markers and potenti

87 Advances in diagnostic clinical genomics are increasingly complemented by pathway-specif

88 Genomics-based drug repurposing (GBR) offers the potenti

89 earch related to variations in somatic tumor genomics between the African-American and White-American

90 s in the Baylor-Hopkins Center for Mendelian Genomics (BHCMG) cohort and detected 773 HMZ deletion ca

91 vances in our understanding of the genetics, genomics, biochemistry, and signal diversity of QS.

92 nes and their transcripts is a foundation of genomics, but currently no annotation technique combines

93 nd other multicellular organisms.Single-cell genomics can be used to study uncultured microorganisms.

94 thus providing an example of how comparative genomics can be used to test sociobiological theory.

95 Metagenomics and single-cell genomics can reveal unknown metabolic features of not-ye

96 Hussman Institute for Human Genomics, Case Western Reserve University, and Columbia

97 pproaches from chemical biology, proteomics, genomics, cell biology, and genetics that have propelled

98 ses to be targeted in the Seattle Structural Genomics Center for Infectious Disease (SSGCID) structur

99 ioNano Genomics optical mapping and Dovetail Genomics chromosome conformation capture data for genome

100 The Seven Bridges Cancer Genomics Cloud (CGC; www.cancergenomicscloud.org) enable

101 sions in CWL and on the Seven Bridges Cancer Genomics Cloud platform can be obtained by contacting th

102 Advances in genomics, collection digitization, and imaging have begu

103 d linked-read sequencing technology from 10X Genomics combines a novel barcoding strategy with Illumi

104 provide a reference resource for the conifer genomics community.

105 erving as an essential resource in the viral genomics community.

106 We employed a combination of genomics, computational biology and phenotyping to chara

107 ancestry across 24 cohorts in the Cognitive Genomics Consortium (COGENT).

108 were either obtained through the Psychiatric Genomics Consortium (PGC) or the Danish iPSYCH project.

109 f the most recent release of the Psychiatric Genomics Consortium (PGC), the PGC2-MDD (Major Depressio

110 m study on PTSD conducted by the Psychiatric Genomics Consortium (PGC)-Enhancing Neuroimaging Genetic

111 meta-analyses with data from the Psychiatry Genomics Consortium (PGC2).

112 tosomal common variants from the Psychiatric Genomics Consortium and iPSYCH Project (n = 20,183 cases

113 he most recent analysis from the Psychiatric Genomics Consortium as a direct measure of the vulnerabi

114 e combined: schizophrenia in the Psychiatric Genomics Consortium cohort (n = 79757 [cases, 34486; con

115 used the results from the latest Psychiatric Genomics Consortium schizophrenia meta-analysis.

116 MDD and 9519 controls) from the Psychiatric Genomics Consortium were applied to calculate PRS at thr

117 rom a large meta-analysis by the Psychiatric Genomics Consortium were computed in three substance use

118 hizophrenia Working Group of the Psychiatric Genomics Consortium with data on macroscale connectivity

119 demiology) (n = 53949) and COGENT (Cognitive Genomics Consortium) (n = 27888).

120 y available information from the Psychiatric Genomics Consortium, and report myocyte enhancer factor

121 ampal volume, using results from the imaging genomics consortium, ENIGMA.

122 ics were obtained from the International FTD Genomics Consortium, International PD Genetics Consortiu

123 acco And Genetics Consortium and Psychiatric Genomics Consortium.

124 easures from 14 data sets of the Psychiatric Genomics Consortium.

125 ternational Age-related Macular Degeneration Genomics Consortium.

126 n study results generated by the Psychiatric Genomics Consortium.

127 on meta-analysis results of the Psychiatric Genomics Consortium.

128 to the MDD Working Group of the Psychiatric Genomics Consortium.

129 were recruited through the Pediatric Cardiac Genomics Consortium: 355 CTD trios and 192 LVOTD trios.

130 Single-cell genomics constitutes a powerful approach to resolve comp

131 oncology, clinical psychology, epidemiology, genomics, cost-effectiveness modeling, pathology, bioeth

132 ains the standard for population-scale tumor genomics, creating a need for computational tools to sep

133 Multiple types of high throughput genomics data create a potential opportunity to identify

134 Comparative genomics data indicate that these loci, and genomic isla

135 customized databases that utilize published genomics data integrated with experimental data which ca

136 Population genomics data revealed that genomic regions encoding bio

137 drug response in very large clinical cancer genomics data sets, such as The Cancer Genome Atlas (TCG

138 ation tools enable the exploration of cancer genomics data, most biologists prefer simplified, curate

139 torage of, and operation on multiple diverse genomics data.

140 of both GWAS and eQTL results and functional genomics data.

141 The Eukaryotic Pathogen Genomics Database Resource is a collection of databases

142 g fast exploration of large-scale population genomics datasets combining the output from multiple gen

143 ics during tumor evolution using large-scale genomics datasets.

144 leukemia (AML), has been greatly advanced by genomics discovery studies that use novel high-throughpu

145 Cancer genomics efforts have identified genes and regulatory el

146 ystems in the Electronic Medical Records and Genomics (eMERGE) Network were randomly allocated to one

147 70 years but has gone largely ignored in the genomics era until recently.

148 analyze gene lists obtained from large-scale genomics experiments.

149 ial attempt at Empowering the Development of Genomics Expertise (EDGE) in a wide range of application

150 so have value beyond B. napus for functional genomics, facilitated by the close genetic relatedness t

151 We describe the broad genomics findings that characterize these lymphoma types

152 rometry for colony identification, real-time genomics for isolate characterization, and the developme

153 Also, genomics for MMR are warranted.

154 ed TeachEnG (acronym for Teaching Engine for Genomics) for reinforcing key concepts in sequence align

155 will promote advances in clinical microbial genomics, functional evolution and other subfields of mi

156 Advances in chemical genomics, gene editing, and model systems now permit dec

157 and humans, aiming to bridge the gap between genomics, gene functions and traits.

158 ystem will have broad utility for functional genomics, genetic interaction mapping and drug-target pr

159 This largest effort to date in weedy plant genomics gives a better understanding of weediness while

160 The field of ARDS genomics has cycled from candidate gene association stud

161 me phenotypes due to monogenic forms of IBD, genomics has progressed from 'orphan disease' research t

162 Comparative genomics has revealed a class of non-protein-coding geno

163 ought to be an ancient phototrophic lineage, genomics has revealed a much greater metabolic diversity

164 sequencing a human genome has plummeted, and genomics has started to pervade health care across all s

165 Metagenomics and single-cell genomics have enabled genome discovery from unknown bran

166 Recent advances in the field of genomics have largely been due to the ability to sequenc

167 importance of evolutionary theory to cancer genomics have led to a proliferation of phylogenetic stu

168 prospective study was part of the Melbourne Genomics Health Alliance demonstration project.

169 isting methodologies for studying centromere genomics in biology are laborious.

170 Our study also validates the use of chemical genomics in characterizing modes of actions of antibioti

171 of research on comparative and evolutionary genomics in different eusocial insect groups (bees, ants

172 pects of explanatory and predictive clinical genomics in IBD.

173 We review the current understanding of genomics in myelodysplastic syndromes (MDS) and leukemia

174 However, proteomics still lag behind genomics in popularity and ease of use.

175 hput leaf metabolomics along with functional genomics in wild tomato unreveal potential role of stero

176 or modified PCR-based method (Sigma/Rubicon Genomics Inc.

177 Participants of AREDS, AREDS2, and Michigan Genomics Initiative.

178 ce the Sphagnome Project, which incorporates genomics into a long-running history of Sphagnum researc

179 ain challenges associated with incorporating genomics into the clinical management of pediatric patie

180 Imaging genomics is a new field of investigation that seeks to g

181 e (RNAi) in molecular biology and functional genomics is a well-established technology, in vivo appli

182 Single-cell genomics is important for biology and medicine.

183 yping assays and functional genomic studies, genomics is providing new foundations for crop-breeding

184 Comparative genomics is providing new opportunities to address the d

185 An important goal of cancer genomics is to identify systematically cancer-causing mu

186 A common problem in genomics is to test for associations between two or more

187 il, and reporting data generated by a mobile genomics laboratory that travelled across northeast Braz

188 of human cognition has resulted in cognitive genomics lagging behind many other fields in terms of ge

189 cies and their comparisons at the functional genomics level to support tailor-designed breeding.

190 racterization on the imaging, histologic and genomics levels.

191 mately, the strength of imaging genetics and genomics lies in their translational and integrative pot

192 ixed populations are underrepresented in the genomics literature, with a key concern for researchers

193 evolution, coupled with the advances made in genomics, may provide a powerful and feasible approach t

194 luorescence Complementation-based functional genomics method to perform a high throughput screening a

195 experimental, functional, and computational genomics methodologies for the study of the genomic basi

196 vide an overview of the state of single-cell genomics methods and an outlook on the use of single-cel

197 Leveraging comparative genomics methods, we identify and experimentally define

198 of high molecular weight DNA, using the 10x Genomics microfluidic platform to partition the genome.

199 minas single-sample caller CASAVA, Real Time Genomics multisample variant caller, and the GATK Unifie

200 iplinary approach, incorporating comparative genomics, mutagenesis, enzyme kinetics, and modeling, ha

201 ERGE network (Electronic Medical Records and Genomics; n=12 978).

202 a site in the electronic Medical Records and Genomics Network, we apply each feature of PLATO to type

203 ects from the Electronic Medical Records and Genomics network.

204 nal PD Genetics Consortium and International Genomics of AD Project (n>75 000 cases and controls).

205 with AD were obtained from the International Genomics of Alzheimer's Project (17,008 AD cases and 37,

206 s and 37,154 controls from the International Genomics of Alzheimer's Project (IGAP Stage 1), we ident

207 To address this, we performed single-cell genomics of breast tumors and adjacent normal cells prop

208 orating data available publicly and from our Genomics of Chronic Renal Allograft Rejection study.

209 n doors to the study of bacterial functional genomics of different species in numerous settings.

210 r synthetic models and models generated from Genomics of Drug Sensitivity in Cancer database shows th

211 eviously identified that elevation of YAP in genomics of genetic engineered mouse (GEM) model of pros

212 Many techniques for studying functional genomics of important target sites of anthelmintics have

213 In this Review, we discuss how the genomics of non-human organisms can provide insights int

214 n the immunology, epidemiology, and genetics/genomics of psoriasis.

215 A report on the 11th Genomics of Rare Disease meeting held at the Wellcome Ge

216 platform for the evolutionary and functional genomics of satDNAs in pericentric heterochromatin.

217 Comparative genomics of two flatfish and transcriptomic analyses dur

218 Looking at the population genomics of var genes in cases of uncomplicated malaria,

219 Evolutionary genomics of viruses revealed many unexpected connections

220 Comparative population genomics offers an excellent opportunity for unraveling

221 que and exciting advantages that single-cell genomics offers over metagenomics, both now and in the n

222 Single-cell genomics offers powerful tools for studying immune cells

223 uantitative invariants found in evolutionary genomics, one of the most striking is the scaling of the

224 es of these assemblies, we generated BioNano Genomics optical mapping and Dovetail Genomics chromosom

225 Here, we present PopFly, a population genomics-oriented genome browser, based on JBrowse softw

226 unities rendered by a vast amount of disease genomics, phenomics, drug treatment, and genetic pathway

227 ances about fundamental understanding of the genomics, physiology, and ecology of N2O reducers and th

228 To address this challenge, The Comparative Genomics Platform (CoGe) has developed two web-based too

229 orts have greatly benefited from advances in genomics, profiling the crop phenome (i.e., the structur

230 ylogenetic analysis, large-scale comparative genomics projects, and more.

231 Advances in bioinformatics, genomics, proteomics, and metabolomics have facilitated

232 Using a combination of genomics, proteomics, biochemical, and functional screen

233 A large part of functional genomics' public catalogs is based on ChIP-seq data.

234 dvantage of precision medicine tools-such as genomics, radiomics, and mathematical modelling-could op

235 zes current GWAS efforts in maize functional genomics research and discusses future prospects in the

236 e, we review the return of results debate in genomics research and propose that, as for genomic studi

237 e and under-represented individuals in human genomics research and the striking gaps in attaining tha

238 Imaging genetics and genomics research has begun to provide insight into the

239 surge in genome sequence data and functional genomics research has ushered in the discovery of aberra

240 oligonucleotides, which limits genetics and genomics research on many species.

241 e a gold standard for benchmarking different genomics research tools.

242 r drivers and guide the next stage of cancer genomics research.

243 the design of efficient probe sequences for genomics research.

244 ies of other medical conditions, psychiatric genomics researchers should offer findings that meet the

245 ecent availability of large-scale functional genomics resources provides an opportunity to re-examine

246 l School and associated DRSC/TRiP Functional Genomics Resources website serve as a reagent production

247 ion of live-cell imaging and next-generation genomics revealed an alteration in viral and cellular re

248 Comparative genomics revealed that B. cookei possessed substantially

249 CRISPR/Cas9 genomics revealed that super-enhancer constituents act c

250 alue is beginning to be appreciated, and the genomics revolution promises more reliable and less expe

251 s of 23andMe (Mountain View, CA) and Pathway Genomics (San Diego, CA).

252 apply this method to Illumina-sequenced 10x Genomics sarcoma and breast cancer data sets.

253 Single-cell genomics (SCG) appeared as a powerful technique to get g

254 Single cell genomics (SCG) are promising tools to retrieve genomic i

255 ancement of proteomics, transcriptomics, and genomics science.

256 Using a chemical genomics screen in Escherichia coli, we uncover a mode o

257 at all stages of high-throughput functional genomics screening, from assay design and reagent identi

258 Comparative genomics showed that the mcr-1-carrying IncX4 plasmids e

259 Here we apply integrative functional genomics strategies to elucidate global HCV-miRNA intera

260 and four keynotes that covered topics on 3D genomics structural analysis, next generation sequencing

261 ides a useful resource for plant comparative genomics studies and cucurbit improvement.

262 widely utilized both in translational cancer genomics studies and in the setting of precision medicin

263 As medical genomics studies become increasingly large and diverse,

264 A number of genetical genomics studies have been published for Arabidopsis tha

265 cantly expanded the database for comparative genomics studies in these bacteria.

266 e (CeNDR) to enable statistical genetics and genomics studies of C. elegans and to connect the result

267 ogy, and evolutionary biology in addition to genomics studies that are already underway.

268 rare event categorical data, and functional genomics studies typically study the presence or absence

269 Genetical genomics studies uncover genome-wide genetic interaction

270 Recent genomics studies using next generation sequencing (NGS)

271 been recently discovered through functional genomics studies.

272 Combining all results from grain quality genomics, systems genetics, and digestibility phenotypin

273 heterogeneity, we developed an image-guided genomics technique termed spatiotemporal genomic and cel

274 man GWASs, it is important to use functional genomics techniques to gain a mechanistic understanding

275 velopment and application of high-throughput genomics technologies has resulted in massive quantities

276 Despite improvements in genomics technology, the detection of structural variant

277 In the new era of genomics, the challenging interpretation of individual g

278 porting research and policy efforts in human genomics, the National Human Genome Research Institute i

279 Thus, the application of integrative genomics to an extensive cohort of clinical samples deri

280 population associated with disease, we used genomics to analyze a systematic 11-yr hospital-based su

281 uate background knowledge of clinical cancer genomics to design meaningful radiogenomics projects and

282 review the progress that has been made using genomics to identify novel pathologic genomic rearrangem

283 research aligns with the field of functional genomics to provide insights into environmental and gene

284 ion analysis, genetic mapping and population genomics to study the genetic basis of the vernalisation

285 spects for the use of landscape genetics and genomics to understand the biology and control of parasi

286 This requires transforming genomics tools specifically for studying non-model speci

287 proteomics can now be integrated with modern genomics tools to comprehensively relate proteomic profi

288 atics workflow that incorporates widely used genomics tools, parallelization and automation to increa

289 hich has a large DNA genome, using synthetic genomics tools.

290 HCC patients through systems integration of genomics, transcriptomics, and metabolomics.

291 covery, fine mapping of loci, and functional genomics using state-of-the-art technologies.

292 Herein, using single-cell genomics we demonstrate that TRAILshort is produced by H

293 linked-read whole-genome sequencing from 10X Genomics, we document seven major SV classes at 5 kb SV

294 notypic cultures of embryonic pancreata, and genomics, we found that sphingosine-1-phosphate (S1p), s

295 Using functional genomics, we identify new genes involved in fungal compl

296 Using comparative genomics, we predicted RbkR operator sites and reconstru

297 Illumina HiSeq 2500 for sequencing, and CLC Genomics Workbench for sequence analysis.

298 ality of assemblies is assessed by using CLC Genomics Workbench read mapping and Optical mapping deve

299 sed Next Generation Sequencing (NGS) and CLC Genomics Workbench to assemble complete chloroplast geno

300 The move of computational genomics workflows to Cloud Computing platforms is assoc