ライフサイエンスコーパス: gene discovery

1 ce has emerged as a powerful tool for cancer gene discovery.

2 al advantages of this founder population for gene discovery.

3 ole genome and RNA sequencing approaches for gene discovery.

4 tic heterogeneity has proven challenging for gene discovery.

5 he development of new approaches for disease-gene discovery.

6 s a powerful technique for Mendelian disease gene discovery.

7 ensory cells may hold potential for deafness gene discovery.

8 ting and benchmarking applications in fusion gene discovery.

9 ant vertebrate model organism for functional gene discovery.

10 ole exome sequencing can be used for disease gene discovery.

11 rative genomics approach for innate immunity gene discovery.

12 cific ESC reporter line paradigm for in vivo gene discovery.

13 issue components will facilitate eye disease gene discovery.

14 PIs, can guide better strategies for disease gene discovery.

15 provides a powerful alternative strategy for gene discovery.

16 alleles, providing a clear path forward for gene discovery.

17 powerful resource to facilitate ALS disease gene discovery.

18 e homeostasis and to test the feasibility of gene discovery.

19 of most noncoding variants has bottlenecked gene discovery.

20 ts potential of pathway-based approaches for gene discovery.

21 ental aspects of cell biology as well as for gene discovery.

22 e of the most recent technologies for cancer gene discovery.

23 olution, speciation, domestication and novel gene discovery.

24 rapidly become a standard method for disease gene discovery.

25 Brain-based phenotypes could aid gene discovery.

26 al and differentiation, and will allow novel gene discovery.

27 rtional mutagenesis is a powerful method for gene discovery.

28 perform wheat EST database mining for nsLtp gene discovery.

29 significantly speed up the process of cancer-gene discovery.

30 utility of our approach for tissue-specific gene discovery.

31 opens the way for its use as a phenotype in gene discovery.

32 ients, underscoring the ongoing need for DCM gene discovery.

33 atform technology with broad applications in gene discovery.

34 ms, highlighting the value of Drosophila for gene discovery.

35 rom rudimentary genome maps to trait maps to gene discovery.

36 d provide valuable molecular tags for cancer gene discovery.

37 ource for candidate myeloid tumor suppressor gene discovery.

38 ample transcriptome and can accelerate novel gene discovery.

39 has proven to be a very fruitful source for gene discovery.

40 Future studies should focus on gene discovery.

41 xpressed portion is a logical first step for gene discovery.

42 icomplexa were undertaken for the purpose of gene discovery.

43 ld accelerate livestock positional candidate gene discovery.

44 should greatly facilitate the use of aCGH in gene discovery.

45 throughput insertion site analysis in cancer gene discovery.

46 easingly important role in the next stage of gene discovery.

47 ne expression profiling and a new source for gene discovery.

48 trains provides a powerful method for cancer gene discovery.

49 hting the potential of pleiotropy to improve gene discovery.

50 methods of clinical MSI diagnosis and cancer gene discovery.

51 standing continues to lag behind the pace of gene discovery.

52 tes critically important data for eukaryotic gene discovery.

53 hich the rate-limiting step may no longer be gene discovery.

54 s to improve the prediction power of disease gene discovery.

55 y, which has historically complicated driver gene discovery.

56 is suitable for rapid genetic screening and gene discovery.

57 ications in population inference and disease gene discovery.

58 enetic mosaic zebrafish for tumor suppressor gene discovery.

59 sample of deeply phenotyped individuals for gene discovery.

60 ork for evaluating various study designs for gene discovery.

61 des a powerful new tool for familial disease gene discovery.

62 an be used to prioritize variants in disease-gene discovery.

63 es; however, none of these represented novel gene discoveries.

64 gh cost of gene testing all hindered earlier gene discoveries.

65 We identified 3 factors that limited novel gene discovery: (1) imperfect sequencing coverage across

66 re of autism spectrum disorders (ASDs), with gene discovery accelerating as the characterization of g

67 ined a pioneering approach to genomics-based gene discovery, an astute appreciation of translational

68 ases has recently increased because of novel gene discoveries and advancements in DNA sequencing tech

69 new classification, syndromic approach, new gene discoveries and genotype-phenotype correlations.

70 alies continue to be a valuable resource for gene discovery and annotation.

71 nce tags (ESTs) offer a low-cost approach to gene discovery and are being used by an increasing numbe

72 ship with SDW supports future efforts toward gene discovery and breeding wheat cultivars with reduced

73 ents a whole-phenome approach toward disease gene discovery and can be applied to prioritize genes fo

74 tically tractable model, the fly facilitates gene discovery and can complement mammalian models of di

75 eading to missed opportunities for improving gene discovery and characterization.

76 tion of specific rearrangements that enabled gene discovery and clinical correlations, many aberratio

77 sequencing and have implications for disease gene discovery and clinical diagnosis.

78 ll replace regionally focused approaches for gene discovery and clinical testing in the next few year

79 strated by applications ranging from disease gene discovery and comparative genomics to species conse

80 nks are free, open-source software tools for gene discovery and comprehensive expression analysis of

81 Whole-exome sequencing has transformed gene discovery and diagnosis in rare diseases.

82 This has, in turn, accelerated the pace of gene discovery and disease diagnosis on a molecular leve

83 ively small chemical libraries to accelerate gene discovery and disease study.

84 tive area of research for both novel disease gene discovery and drug repositioning.

85 this newly created knowledge base in disease gene discovery and drug repurposing.

86 tive area of research for both novel disease gene discovery and drug repurposing.

87 platform will accelerate clinical diagnosis, gene discovery and encourage wider adoption of the Human

88 nome-, transcriptome-, and metabolome-guided gene discovery and enzyme characterization identified no

89 We have used a series of gene discovery and expression profiling methods to exami

90 resented here represent a large resource for gene discovery and for confirmation of results obtained

91 also discuss key challenges that remain for gene discovery and for moving from genomic localization

92 t will also serve as a valuable resource for gene discovery and for unraveling the fundamental mechan

93 e as a resource to accelerate the process of gene discovery and function in this model organism.

94 ion atlas represents a valuable resource for gene discovery and functional characterization in maize.

95 Recent efforts in gene discovery and functional genomics are providing the

96 rived from RDA-subtracted libraries for both gene discovery and gene expression analysis in the centr

97 transcripts will be particularly useful for gene discovery and gene expression analysis of nonmodel

98 alternative to the transgenic approach, for gene discovery and gene function analysis in cassava.

99 sequence tag (EST), which is instrumental in gene discovery and gene sequence determination.

100 ly investigated two approaches to accelerate gene discovery and genome analysis in maize: methylation

101 ne/signaling protein interaction network for gene discovery and hypothesis generation in plants and o

102 ion, assist genome assembly projects and aid gene discovery and identification.

103 riation, provide a resource for accelerating gene discovery and improving this major crop.

104 ets generated here provide new resources for gene discovery and marker development in this orphan cro

105 urodegenerative disorders and can facilitate gene discovery and mechanistic understanding of disease.

106 To facilitate gene discovery and molecular breeding in sorghum, we hav

107 ologies has altered the landscape of current gene discovery and mutation detection approaches.

108 the utility of mouse models for MPNST driver gene discovery and provide new insights into the complex

109 e the power of transcriptional profiling for gene discovery and provide opportunities for investigati

110 r data established an excellent resource for gene discovery and provide useful information for functi

111 there is no single reference system to guide gene discovery and rapid annotation of specialized diter

112 egrative modeling approach for both reliable gene discovery and robust GP.

113 at promise to speed up the process of cancer-gene discovery and should be considered to complement ti

114 ST)-based microarrays are powerful tools for gene discovery and signal transduction studies in a smal

115 review the current and future bottlenecks to gene discovery and suggest strategies for enabling progr

116 nduced mutations are important resources for gene discovery and the elucidation of genetic circuits.

117 ess the usefulness of mouse models in cancer gene discovery and the extent of cross-species overlap i

118 While complicating the prospects for gene discovery and the feasibility of mechanistic studie

119 and is therefore a valuable tool for use in gene discovery and the interpretation of personal genome

120 a unique opportunity for additional disease gene discovery and understanding of this pathology.

121 e is one of the most powerful tools for both gene discovery and validation in cancer genetics.

122 e promise of many more cancer predisposition gene discoveries, and greater and broader clinical appli

123 oaches have been used for disease diagnosis, gene discovery, and studying complex traits are provided

124 sposon is an emerging tool for transgenesis, gene discovery, and therapeutic gene delivery in mammals

125 expect that TEPSS will be useful for various gene discovery applications.

126 these derived components may prove useful in gene discovery applications.

127 We used a gene-discovery approach to identify additional candidate

128 ncipally by using linkage-based or candidate gene discovery approaches.

129 involvement in leukaemia or via post-genomic gene discovery approaches.

130 High-throughput gene-discovery approaches should greatly increase our un

131 In many instances, these gene discoveries are being rapidly translated into meani

132 s the question of whether current models for gene discovery are shaped excessively by a fear of false

133 Differential display, Gene Discovery Arrays, and Affymetrix genechip probe arr

134 chromosomal instability in DLBCL to enhance gene discovery as well as clinical correlation analysis.

135 In microarray studies gene discovery based on fold-change values is often misl

136 n this article we present a new strategy for gene discovery based on the production of ESTs from seri

137 This strategy of gene discovery, based on the identification of a gene se

138 locus heterogeneity constitute a problem for gene discovery because the usual criterion of finding mo

139 ave been missed by traditional approaches to gene discovery but can be identified by their evolutiona

140 or structural gene annotation have propelled gene discovery but face certain drawbacks with regards t

141 yl-N-nitrosourea) mutagenesis can facilitate gene discovery, but mutation identification is often dif

142 such as heterogeneous stocks (HS) facilitate gene discovery by allowing fine mapping to only a few me

143 ion sequencing technologies are accelerating gene discovery by combining multiple steps of mapping an

144 stem provides a new tool for saponin pathway gene discovery by DNA array-based approaches.

145 demonstrate the utility of this approach for gene discovery by identifying numerous previously unchar

146 d a novel framework to improve the power for gene discovery by incorporating prior information of sin

147 vides a cost- and time-efficient approach to gene discovery by integrating chemical mutagenesis and w

148 t, the zebrafish has become a great tool for gene discovery by mutational analysis.

149 Gene discovery by partial DNA sequence determination of

150 rate how such data sets can expedite disease-gene discovery, by using them to identify the gene causi

151 Despite rapid advances in gene discovery, details concerning the altered protein p

152 ished data concerning prevalence, phenotype, gene discovery, disease mechanisms, diagnostic tools and

153 ations as well as an insertional mutagen for gene discovery during development.

154 While particularly true for gene discovery, each of these efforts requires substanti

155 ES data; this tool can be useful for disease gene discovery efforts and clinical WES analyses.

156 that more than doubles the size of previous gene discovery efforts and highlights 3 novel MS suscept

157 ore at an exciting inflection point at which gene discovery efforts are transitioning toward the func

158 more complex brain regions and contribute to gene discovery efforts.

159 , Kif12, fulfills the major criteria for QTL gene discovery established by the Complex Trait Consorti

160 To enhance gene discovery, expressed sequence tag (EST) projects of

161 es that group genes for the purpose of novel gene discovery fail to acknowledge the dynamic nature of

162 large team science (TS) consortia focused on gene discovery, fine mapping of loci, and functional gen

163 ument the power of whole-exome sequencing in gene discoveries for rare disorders, and illustrate the

164 improve the power of conventional methods of gene discovery for complex diseases should be investigat

165 chnologies are also accelerating the pace of gene discovery for deafness.

166 ican-admixed individuals and will facilitate gene discovery for diseases disproportionately affecting

167 r approach may substantially improve disease gene discovery for diseases with many known risk variant

168 Furthermore, we performed iterative gene discovery for glioblastoma, meningioma and breast c

169 Gene discovery for IVF is important as it enables the id

170 ations, has become increasingly important in gene discovery for schizophrenia.

171 ease genes have been identified for CMT, the gene discovery for some complex form of CMT has lagged b

172 ariants at the transcription level, into the gene discovery framework for a unique human disease, mic

173 re, we review recent developments in disease gene discovery, functional characterization, and shared

174 To advance gene discovery further, we combined data from three stud

175 the biology of the beta-defensins, including gene discovery, genomic organization, molecular structur

176 This large-scale gene discovery gives the broadest depth yet to the annot

177 ods are necessary to accomplish many current gene discovery goals.

178 In the gene discovery group of Celera Genomics, I developed a t

179 Gene discovery has been limited because the organism is

180 Cancer gene discovery has relied extensively on analyzing tumor

181 Applications include gene discovery, high-throughput drug screens or systemat

182 sis of retroviral insertion sites for cancer gene discovery, identify several new genes worth examini

183 mouse models of human cancer and for cancer gene discovery in a wide variety of tissues.

184 nism is likely to be a powerful approach for gene discovery in AD and other complex genetic disorders

185 ic aortic aneurysm has been established, and gene discovery in affected families has identified sever

186 opulations are already available for disease-gene discovery in African Americans.

187 hnology has tremendous potential for disease-gene discovery in cancer and developmental disorders as

188 n that will dramatically enhance the rate of gene discovery in complex conditions such as AID suscept

189 detection have proven a powerful approach to gene discovery in complex neurodevelopmental disorders.

190 We propose standards for proof of gene discovery in complex traits and evaluate the nature

191 ay will accelerate hypothesis generation and gene discovery in disease defense pathways, responses to

192 nd a potentially powerful tagging system for gene discovery in eukaryotes.

193 ing known Mendelian genes, in PhenIX, versus gene discovery in Exomiser) is perhaps not fully appreci

194 significantly enhance the accuracy of cancer gene discovery in forward genetic screens and provide in

195 ies (GWAS) have become the standard tool for gene discovery in human disease research.

196 tify such loci in flies as well as promoting gene discovery in humans.

197 ble PAH, but whether WES can also accelerate gene discovery in IPAH remains unknown.

198 expression analysis is a valid approach for gene discovery in large chromosomal amplicons.

199 r guiding strain selection to maximize novel gene discovery in large-scale genome sequencing projects

200 s, hPSCs have the potential to revolutionize gene discovery in mammalian development.

201 of the human genome and describe functional gene discovery in mammals not recognized in human EST pr

202 e PiggyBac transposon can be used for cancer gene discovery in mice.

203 outgrowth represents a powerful platform for gene discovery in neuronal regeneration.

204 addresses the particular issues that attend gene discovery in neuropsychiatric and neurodevelopmenta

205 Gene identification and gene discovery in new genomic sequences is one of the mo

206 to develop a general strategy for diterpene gene discovery in nonmodel systems.

207 as an inexpensive and efficient solution for gene discovery in parasitic nematodes.

208 he TRV vector will have wide application for gene discovery in plants.

209 y Pickard et al., entitled "Cytogenetics and gene discovery in psychiatric disorders," highlighted th

210 Gene discovery in psychiatry is, on its own, unlikely to

211 facto standard method for Mendelian disease gene discovery in recent years, yet identifying disease-

212 n particular, CBCS will (1) permit efficient gene discovery in species with substantial quantities of

213 ave provided a powerful and rapid entry into gene discovery in the auditory system.

214 value in affecting genome scans for disease-gene discovery in the case-control and transmission/dise

215 cause of CJS and illustrates strategies for gene discovery in the context of low-level tissue-specif

216 ubspecies of rice are powerful new tools for gene discovery in the grasses.

217 e the power of retroviral tagging for cancer gene discovery in the post-genome era and indicate a lar

218 e-scale use of retroviral tagging for cancer gene discovery in the post-genome era.

219 amples of cutaneous mosaicism, approaches to gene discovery in these disorders, and insights into mol

220 an be expected from the accelerating pace of gene discovery in this field.

221 To expedite gene discovery in this mouse model of childhood cancer,

222 Gene discovery in this way suggests that we are far from

223 ratory whole-transcriptome approach to virus gene discovery in three different Symbiodinium cultures.

224 This breaks with the past pattern of gene discovery, in which the information flow was most o

225 this TE family and its use for Y chromosome gene discovery is discussed.

226 roach being applied extensively in candidate gene discovery is gene expression analysis of human and

227 Here, by use of gene discovery methods in the green alga Chlamydomonas,

228 emonstrate the utility of applying proteomic gene discovery methods to a specific biological process

229 architecture of blood pressure, and whether gene discoveries might influence cardiovascular risk ass

230 study on autism using two Chinese cohorts as gene discovery (n=2150) and three data sets of European

231 lls, in silico variant modeling and modifier gene discovery, now in their earliest stages, will help

232 netics and genomics offer new approaches for gene discovery of adult cardiac phenotypes to identify e

233 in consideration of (a) rapid development in gene discovery of important traits, (b) deepened underst

234 1 year later, we discuss the impact of this gene discovery on the study of language and review the r

235 sequencing (NGS) projects for novel disease-gene discovery or differential diagnostics of Mendelian

236 t of high-throughput sequencing (HTS) on ASD gene discovery, outline a consensus view for leveraging

237 made in computational approaches for fusion gene discovery over the past 3 years due to improvements

238 al development, introduced a period of rapid gene discovery over the past decade.

239 This approach increased the yield of gene discovery over what would be obtained if each disor

240 to continue in research settings for causal gene discovery, pharmacogenetic purposes, and gene-gene

241 of a state-of-the-art toolbox in the driver gene discovery pipeline.

242 validating the use of C. elegans as a cancer gene discovery platform.

243 A large-scale EST-based gene discovery program at The University of Iowa has led

244 nces from various groups including the Maize Gene Discovery Project and the Clemson University Genomi

245 n plants through a massive transcriptome and gene discovery project involving Triphysaria versicolor

246 In gene discovery projects based on EST sequencing, effecti

247 ore the utility of SB for large-scale cancer gene discovery projects, we have generated mice that car

248 Using data from Mendelian disease-gene discovery projects, we show that ALoFT can distingu

249 uracy of data always governs the large-scale gene discovery projects.

250 rough a convergence of data involving mutant gene discovery, proteomics, and cell biology, more than

251 Gene discovery provides the basis for neurobiological in

252 l FDR improved power of traditional GWAS for gene discovery providing a useful framework for the anal

253 methods provided a 7- to 8-fold increase in gene discovery rates as compared to random sequencing.

254 There is widespread agreement that cancer gene discovery requires high-quality tumor samples.

255 s for constitutive or tissue-specific cancer gene discovery screening.

256 the Web portal for a large project of maize gene discovery, sequencing and phenotypic analysis using

257 Proteomic-based de novo gene discovery should be especially useful for sets of g

258 ells for preclinical applications, including gene discovery, simultaneous multiplexed genome modifica

259 son insertional mutagenesis to enable cancer gene discovery starting with human primary cells.

260 data are essential for modeling studies and gene discovery strategies needed to introduce aspects of

261 ved has significant implications for ongoing gene discovery strategies.

262 ptional profiling with multiple tissues as a gene discovery strategy for low-abundance proteins.

263 We analyze the potential of the gene discovery strategy that combines multiple rare vari

264 Gene discovery studies focused on these strains will gre

265 trong motivation for undertaking psychiatric gene discovery studies is to provide novel insights into

266 is, treatment, and selection of patients for gene discovery studies.

267 We report a gene discovery system for poplar trees based on gene and

268 Applications of SSA for gene discovery, target discovery, and generation of muta

269 s and mutations is an effective strategy for gene discovery that allows characterization of effects o

270 the utility of VISIONET for expertise-driven gene discovery that opens new experimental directions th

271 third, we propose an iterative procedure for gene discovery that operates via successful augmentation

272 ly, hexanucleotide expansions in the C9orf72 gene, discoveries that highlight the overlapping pathoge

273 very, the uses of GxE research as a tool for gene discovery, the importance of construct validation i

274 rried out before as well as after replicated gene discovery, the uses of GxE research as a tool for g

275 these large-scale analyses in the context of gene discovery, therapeutic application and building a m

276 at non-allelic genetic heterogeneity hampers gene discovery, this study demonstrates the utility of r

277 decade, limma has been a popular choice for gene discovery through differential expression analyses

278 ders (ASDs), is to advance the findings from gene discovery to an exposition of neurobiological mecha

279 past decade, we outline achievements in rat gene discovery to date, show how these findings have bee

280 grated developmental transcriptome data with gene discovery to generate testable hypotheses about whe

281 receptor PD-1 in cancer immunotherapy, from gene discovery to patient benefit, have created a paradi

282 This approach was also applied to ab initio gene discovery to support the identification of a de nov

283 Using yeast as an effector gene discovery tool allows for a powerful, genetic appro

284 However, their use as a cancer gene discovery tool has been limited to only a few tissu

285 ematopoietic tumors provides a potent cancer gene discovery tool in the post-genome-sequence era.

286 atopoietic tumors provides a powerful cancer gene discovery tool.

287 , a tissue we previously did not exploit for gene discovery; two new cap-trapped normalized libraries

288 lagging behind many other fields in terms of gene discovery using genome-wide association study (GWAS

289 Phenotype-driven approaches to gene discovery using inbred mice have been instrumental

290 Disease-gene discovery using mapping by admixture linkage disequ

291 hese disorders, a forward genetics method of gene discovery was used to identify additional affected

292 Using a systematic approach toward modifier gene discovery, we have found five chromosome I genes th

293 In order to further accelerate clock gene discovery, we utilized a computer-assisted approach

294 ucleotide polymorphism data set tailored for gene discovery, well-documented analytical strategies, a

295 Two types of antibiotic resistance gene discoveries will be discussed: the use of classic m

296 curate map of broad causal pathways to SUDs, gene discovery will be needed to identify the specific b

297 ograms are still unable to provide automatic gene discovery with desired correctness.

298 of this RNAi library approach for functional gene discovery within a predefined protein family.

299 ses the power of exome sequencing in disease gene discovery within the rare genodermatoses and the ro

300 Using this approach, we predict that gene discovery would be greater than 95% and that the nu