ライフサイエンスコーパス: epigenomics

1 iators for cancer drug sensitivity (pharmaco-epigenomics).

2 integrative chemical genetics and functional epigenomics.

3 methylKit) and provides a needed resource in epigenomics.

4 ding genetic profiling, transcriptomics, and epigenomics.

5 pecies that are viewable and downloadable in Epigenomics.

6 tics and genome sciences is the new field of epigenomics.

7 rough the lens of social genomics and social epigenomics.

8 However, less attention has been given to epigenomics.

9 cusing on their applications in genomics and epigenomics.

10 anded past genomics into transcriptomics and epigenomics.

11 e HD-associated changes in transcription and epigenomics.

12 s evolution, virulence, host preference, and epigenomics.

13 d imputation methods to advance personalized epigenomics.

14 s, including transcriptomics, proteomics and epigenomics.

15 orm will enhance integrative and comparative epigenomics.

16 s) and interpreted results using integrative epigenomics.

17 ween measurement and function in single-cell epigenomics.

18 represents a general strategy for structural epigenomics.

19 n order to facilitate biomedical research in epigenomics.

20 we use and (ii) informative for comparative epigenomics.

21 We used comparative epigenomics across nematodes to gain insight into the or

22 hylation markers including the HCCBloodTest (Epigenomics AG) and a DNA-methylation panel established

23 The novel systems-epigenomics algorithm SEPIRA will be useful to the wider

24 Using a novel systems-epigenomics algorithm, called SEPIRA, which leverages th

25 Much less so in epigenomics, although the role of k-mers in chromatin or

26 repertoire together with transcriptomics and epigenomics analyses demonstrated an oligoclonal expansi

27 We leveraged the high sensitivity of epigenomics analyses of plasma cell-free DNA (cfDNA) and

28 a computational toolbox for allele-specific epigenomics analysis, which incorporates allelic variati

29 ota) were selected for inclusion in the MESA epigenomics ancillary study at examination 5.

30 A report of the 'Joint Keystone Symposium on Epigenomics and Chromatin Dynamics', Keystone, Colorado,

31 also reveals how neuronal signalling, neuro-epigenomics and developmental programs are intertwined t

32 ched cell types and tissues from the Roadmap Epigenomics and ENCODE consortia.

33 mDiff to the 127 epigenomes from the Roadmap Epigenomics and ENCODE projects, we provide novel group-

34 e) for 98 additional cell types from Roadmap Epigenomics and ENCODE projects.

35 ta for 77 cell and tissue types from Roadmap Epigenomics and ENCODE, and from H3K27Ac ChIP-seq data g

36 s the relationships between high-dimensional epigenomics and eQTLs across tissues, taking the correla

37 nascent fields of scientific inquiry such as epigenomics and exposomics.

38 -based blood assay that integrates genomics, epigenomics and fragmentomics, as well as proteomics in

39 We report microbiota, host transcriptomics, epigenomics and genetics from matched inflamed and non-i

40 omics technologies, such as transcriptomics, epigenomics and genomics, provide an unprecedented genom

41 a new methodology that combines cistromics, epigenomics and genotype imputation, we annotate the non

42 Professor Azim Surani is the Director of Epigenomics and Germline Imprinting at the Gurdon Instit

43 so provides a set of methods for comparative epigenomics and integrative analysis, which we expect to

44 ractively display genomics, transcriptomics, epigenomics and metagenomics data stored either locally

45 Spatial epigenomics and multiomics can provide fine-grained insi

46 of regulatory data from the ENCODE, Roadmap Epigenomics and other consortia provides a wealth of opp

47 aits, together with genome-scale expression, epigenomics and other functional genomic data.

48 e considerations for the evaluation of plant epigenomics and single-cell genomics data quality with t

49 ide Mendelian randomization, colocalization, epigenomics and single-cell RNA sequencing, we identifie

50 elines and technologies, such as single-cell epigenomics and spatially resolved transcriptomics, has

51 a from large consortia including the Roadmap Epigenomics and the ENCODE projects.

52 as led to tremendous growth in the fields of epigenomics and transcriptional biology.

53 ignal-specific transcription factor binding, epigenomics and transcriptional outcomes in primary macr

54 The cell-specific epigenomics and transcriptional patterns identified serv

55 Here, we generate a single-cell epigenomics and transcriptomics census of naive-to-memor

56 allows users to store, visualize and analyze epigenomics and transcriptomics data using a biologist-f

57 Since genomics, epigenomics and transcriptomics have provided only a par

58 cumulation in diabetogenesis.FUNDINGThe MESA Epigenomics and Transcriptomics Studies were funded by N

59 of 10 patients in relation to the genomics, epigenomics, and 3D structure of the human genome.

60 chnology can be advanced by transcriptomics, epigenomics, and bioinformatics that inform on genetic p

61 combine proteomics, transcriptomics, epigenomics, and dependency databases to identify DLK1,

62 ting projection types to transcriptomics and epigenomics, and for addressing hypotheses about cell ty

63 tritional metabolomics, along with genomics, epigenomics, and health phenotyping, to support the inte

64 Here, we report genomics, epigenomics, and metabolomics studies of Burkholderia sp

65 ion of genomics with kidney transcriptomics, epigenomics, and other omics as well as through applicat

66 , metabolomics, proteomics, transcriptomics, epigenomics, and phenomics-have transformed our understa

67 Transcriptomics, epigenomics, and proteomics analyses revealed that Cop1

68 Through transcriptomics, epigenomics, and proteomics analysis of LIRIL2R-deficien

69 Integrated transcriptomics, epigenomics, and proteomics reveal that TRRAP via SP1 co

70 ave become essential in studies on genomics, epigenomics, and transcriptomics.

71 nt of and recent advances in mouse genomics, epigenomics, and transgenics offer ever-greater potentia

72 is uniformly more accurate than the Roadmap Epigenomics annotation and the improvement is substantia

73 causal enrichments among 848 tissue-specific epigenomics annotations from ENCODE/Roadmap consortium c

74 ssues or cell types. With such comprehensive epigenomics annotations, DeepFun expands the functionali

75 examined plasma cells from MM using a multi-epigenomics approach and demonstrated that, when compare

76 This epigenomics approach provides a comprehensive study of t

77 Our comprehensive epigenomics approach to the analysis of human macrophage

78 sis indicates how an integrated genomics and epigenomics approach, utilizing an MZ twin design, can p

79 Current epigenomics approaches have facilitated the genome-wide

80 level omics data such as transcriptomics and epigenomics are an average across diverse cell types.

81 ncluding spatial transcriptomics and spatial epigenomics, are becoming powerful tools for profiling o

82 becoming an integrated part of genomics and epigenomics, as they provide a platform that can be used

83 tunity for the emerging field of comparative epigenomics, as well as the agricultural research commun

84 Recent advances in single-cell epigenomics assays have enabled the generation of cell t

85 Epigenomics-based annotation revealed a highly dynamic r

86 tep for functional studies of epigenomes and epigenomics-based precision medicine.

87 e, HomoloGene, ProtEST, dbMHC, dbSNP, dbVar, Epigenomics, Cancer Chromosomes, Entrez Genomes and rela

88 persensitive regions from ENCODE and Roadmap Epigenomics cell lines.

89 re we integrate proteomics, transcriptomics, epigenomics, chromatin accessibility and functional assa

90 By combining transcriptomics, epigenomics, chromatin accessibility, and orthologous ge

91 Finally, single-cell epigenomics confirmed that heterogeneity among effectors

92 To address this need, the NIH Roadmap Epigenomics Consortium generated the largest collection

93 The Roadmap Epigenomics Consortium has published whole-genome functi

94 ence Epigenome Map, generated by the Roadmap Epigenomics Consortium, contains thousands of genome-wid

95 127 human cell types studied by the Roadmap Epigenomics Consortium.

96 methods, including that used by the Roadmap Epigenomics Consortium.

97 The accumulation of large epigenomics data consortiums provides us with the opport

98 Integrating meQTL and Roadmap Epigenomics data could assist fine-mapping efforts.

99 l accessibility (DA) analysis of single-cell epigenomics data enables the discovery of regulatory pro

100 t troves of existing functional genomics and epigenomics data for K562.

101 didate regulatory sequences from large-scale epigenomics data for programmable transgene expression w

102 automated parallel processing of genome-wide epigenomics data from sequencing files into a final repo

103 ion procedure in the context of genomics and epigenomics data generation.

104 repository that archives gene expression and epigenomics data sets generated by next-generation seque

105 Starting from one-dimensional genomics and epigenomics data that are available for hundreds of cell

106 es that combine genetic, transcriptomics and epigenomics data to address a wide range of issues rangi

107 (CpG Shore data, THREE data and NIH Roadmap Epigenomics data), studied previously in other works.

108 pecific steps in the analysis of large-scale epigenomics data, comprehensive software solutions for t

109 This method links variants to genes using epigenomics data, links genes to pathways de novo using

110 With the rapid accumulation of single-cell epigenomics data, MAPLE provides a general framework for

111 act with EpiCompare by investigating Roadmap Epigenomics data, or uploading their own data for compar

112 tical methods for DA analysis of single-cell epigenomics data.

113 ve multiscale visualizations of genomics and epigenomics data.

114 o facilitate responsible access to sensitive epigenomics data.

115 uctural context with functional genomics and epigenomics data.

116 pe and supports their integration with other epigenomics data.

117 or the integrative analysis of heterogeneous epigenomics data.

118 earch System database, AceView database, and Epigenomics database) and TargetScan software.

119 puts and performance of S3V2-IDEAS using 137 epigenomics datasets from the VISION project that provid

120 and a tool to facilitate the exploration of epigenomics datasets' aggregate results, while filtering

121 acent tissues (NATs) incorporating genomics, epigenomics, deep-scale proteomics, phosphoproteomics, a

122 sion, Expression quantitative trait loci and Epigenomics (DICE) cis-interactome project).

123 stigate the roles of nucleolus formation and epigenomics-driven interactions in shaping the 3D genome

124 netics and systems biology (transcriptomics, epigenomics, etc.) to neural mechanisms, symptom varianc

125 of correlation and association can behave in epigenomics experiments.

126 provide a perspective on the progress of the epigenomics field and challenges ahead.

127 Despite distributed use in the epigenomics field, few studies have evaluated and benchm

128 on methods in recent studies on genomics and epigenomics, focusing on current data- and computing-int

129 scusses the recent advances in breast cancer epigenomics, focusing on their contribution to diagnosis

130 indings demonstrate the power of single-cell epigenomics for interpreting complex disease genetics.

131 ome-wide association studies and single-cell epigenomics for understanding the cellular origins of co

132 Integration of epigenomics, gene expression, and functional genomics id

133 e, HomoloGene, ProtEST, dbMHC, dbSNP, dbVar, Epigenomics, Genome and related tools, the Map Viewer, M

134 s such as starch and lipids, epigenetics and epigenomics, genome-wide association studies and natural

135 ational consortia, including ENCODE, Roadmap Epigenomics, Genomics of Gene Regulation and Blueprint E

136 lyses of individual loci, recent progress in epigenomics has led to the development of methods for co

137 ranscriptomics, proteomics, metabolomics and epigenomics, has revolutionised studies in medical resea

138 lipidomics, single-cell RNA sequencing, and epigenomics-has provided unparalleled opportunities to s

139 Advances in proteomics and epigenomics have accelerated the discovery of chromatin

140 etagenomics, phenomics, transcriptomics, and epigenomics have been labelled -omics data, as a unique

141 NIH projects such as ENCODE and Roadmap Epigenomics have revealed surprising complexity in the t

142 Ongoing discoveries in cancer genomics and epigenomics have revolutionized clinical oncology and pr

143 Advances in single-cell epigenomics have revolutionized the field of identifying

144 es several important prospects for precision epigenomics, highlights capabilities and limitations of

145 The field of epigenomics holds great promise in understanding and tre

146 Given the rising importance of epigenomics in cancer and other complex genetic diseases

147 ghlight the emerging role of epigenetics and epigenomics in DKD and the translational potential of ca

148 al. use single-cell transcriptomics and epigenomics in mice and human samples to delineate devel

149 need to integrate environment, genomics, and epigenomics in order to better understand the multifacet

150 ti-omics data (genomics, transcriptomics and epigenomics) in relation to their occurrence across chro

151 cs, including genomics, transcriptomics, and epigenomics, in an aim to discover the functional and me

152 ence epigenomes from ENCODE 2012 and Roadmap Epigenomics, incorporating regulator binding data, expan

153 Here, we introduce "comparative epigenomics"-interspecies comparison of DNA and histone

154 Conflating epigenetics and epigenomics is confusing and causes misunderstanding of

155 A major concern in common disease epigenomics is distinguishing causal from consequential

156 Research in cancer epigenomics is driven by the development of novel techno

157 However, epigenomics is rapidly emerging as a promising conceptua

158 Epigenomics is the study of molecular signatures associa

159 ind those of single-cell transcriptomics and epigenomics, largely because most applications require w

160 We review here the comparative epigenomics literature and synthesize its overarching th

161 The NIH Roadmap Epigenomics Mapping Consortium aims to produce a public

162 relevant regions using data from the Roadmap Epigenomics Mapping Consortium and are associated with n

163 proach to predict interactions in 55 Roadmap Epigenomics Mapping Consortium cell types, which we used

164 datasets, we compared the IDEAS and Roadmap Epigenomics maps.

165 e machine learning model of transcriptomics, epigenomics, metabolomics, and proteomics.

166 mics tools, a spatially resolved single-cell epigenomics method will accelerate understanding of the

167 omics approaches, including transcriptomics, epigenomics, microbiomics, metabolomics, and proteomics,

168 social determinants of health, gut bacterial epigenomics, noncoding RNA, and epitranscriptomics on di

169 ss recent discoveries about the genomics and epigenomics of adult and pediatric gliomas and highlight

170 to profile the kinetics, transcriptomics and epigenomics of innate immune cells in murine draining ly

171 characterization of the transcriptomics and epigenomics of innate populations in the dLNs after vacc

172 The goal of the Epigenomics of Plants International Consortium is to cra

173 (gDNA), has received increased attention in epigenomics, particularly in the area of cancer biomarke

174 anscriptomics, proteomics, metabolomics, and epigenomics-performed on upper and lower airways in pati

175 a, and diverse sequencing-based genomics and epigenomics profiles as features, CASAVA provides risk p

176 Gene expression and epigenomics profiling of cells treated with EZH2 inhibit

177 e National Institutes of Health (NIH) Social Epigenomics Program.

178 cell types and tissues from the NIH Roadmap Epigenomics Project as well as 8 histone marks (with add

179 large consortia including ENCODE and Roadmap Epigenomics Project continue to generate high-throughput

180 genomes of cell-types defined by the Roadmap Epigenomics project revealed that enhancers are more dis

181 DNA Elements consortium and the NIH Roadmap Epigenomics Project to predict haploinsufficiency, witho

182 ation from the ENCODE Consortium and Roadmap Epigenomics Project to prioritize variants for possible

183 one modification from ENCODE and the Roadmap Epigenomics Project, as well as through in vivo analysis

184 sets from different tissues from the Roadmap Epigenomics Project, ME-Class significantly outperforms

185 e-scale epigenome mapping by the NIH Roadmap Epigenomics Project, the ENCODE Consortium and the Inter

186 11 reference epigenomes from the NIH Roadmap Epigenomics project, we determine tissue-specific epigen

187 tissues and cell types in the ENCODE/Roadmap Epigenomics Project, we provide catalogs of putative tis

188 epigenomic datasets from ENCODE and Roadmap Epigenomics Project, we successfully impute high-resolut

189 27-epigenome dataset released by the Roadmap Epigenomics project, with enrichment for enhancers found

190 tudies on the real data from the NIH Roadmap Epigenomics project.

191 and development using data from the Roadmap Epigenomics Project.

192 ations to take into account when large-scale epigenomics projects are being implemented?

193 Thus, epigenomics promises to generate a significant amount of

194 logies, including genomics, transcriptomics, epigenomics, proteomics and metabolomics, have all been

195 ing methodological capabilities in genomics, epigenomics, proteomics, and metabolomics offer unparall

196 omics approaches, including transcriptomics, epigenomics, proteomics, and metabolomics, for character

197 tasets, including genomics, transcriptomics, epigenomics, proteomics, metabolomics and spatial profil

198 The "omics"-genomics, pharmacogenomics, epigenomics, proteomics, metabolomics, and microbiomics-

199 mics data include genomics, transcriptomics, epigenomics, proteomics, metabolomics, and more.

200 cs technologies - genomics, transcriptomics, epigenomics, proteomics, metabolomics, connectomics, and

201 Multi-omics (genomics, transcriptomics, epigenomics, proteomics, metabolomics, etc.) research ap

202 The integration of imaging and epigenomics provides a general and scalable approach for

203 Epigenomics provides the context for understanding the f

204 urce for epigenetics research from the FDA's Epigenomics Quality Control Group.

205 cs (including genomics, transcriptomics, and epigenomics), radiomics, digital pathology (pathomics),

206 'Epigenomics' refers to DNA-associated physical and funct

207 Over the past decade, rapid advances in epigenomics research have extensively characterized crit

208 the use of these DNA reference materials in epigenomics research, as well as provide best practices

209 se data can be used as a baseline to advance epigenomics research.

210 applied to big data analysis in genomics and epigenomics research.

211 The Epigenomics resource also provides the user with a uniqu

212 the initial publication describing the NCBI Epigenomics resource and currently consist of >3700 view

213 forts to enhance the integration between the Epigenomics resource and other NCBI databases, including

214 immunoprecipitation, a common application in epigenomics, revealed that a clasping antibody to trimet

215 Thus, comparative epigenomics reveals regulatory features of the genome th

216 le highlights basic concepts of genomics and epigenomics, reviews the most common genetic alterations

217 To this end, we carefully reanalyzed the Epigenomics Roadmap data for nine fetal tissues, assigni

218 ensitive Site (DHS) information from the NIH Epigenomics Roadmap to construct an improved reference D

219 We suggest that the Septin9 serum assay (Epigenomics, Seattle, Wash) not be used for screening.

220 Defined broadly, psychiatric epigenomics seeks to understand the effects of disease-a

221 NaviSE also implements an 'epigenomics signal algebra' that allows the combination

222 nation of multiple activation and repression epigenomics signals.

223 rming the Accessible Resource for Integrated Epigenomics Studies (ARIES)-that includes (1) peripheral

224 n, highlighting critical factors for medical epigenomics studies.

225 ttractive alternative method for single-cell epigenomics studies.

226 This epigenomics sub-study embedded within a randomized contr

227 t for large consortia including 4DN, Roadmap Epigenomics, TaRGET and ENCODE, among others.

228 including data from the 4DN, ENCODE, Roadmap Epigenomics, TaRGET, IHEC and TCGA consortia; (iii) a mo

229 genome-wide annotations, cell-type-specific epigenomics), thereby enabling rapid, robust and scalabl

230 tivity, we apply integrative and comparative epigenomics to 25 human primary cell and tissue samples.

231 ntegrated single-nucleus transcriptomics and epigenomics to characterize all major liver cell types d

232 uantitative proteomics, transcriptomics, and epigenomics to define the core USP7 network.

233 uantitative proteomics, transcriptomics, and epigenomics to define the USP7 regulatory circuitry duri

234 wide association study data with single-cell epigenomics to disentangle the aetiological heterogeneit

235 results demonstrate the power of single-cell epigenomics to identify regulatory programs to uncover m

236 translatability of the recent discoveries in epigenomics to precision public health.

237 Here, we use single-cell epigenomics to profile chromatin state transitions in a

238 dels Informed by Chromatin conformations and Epigenomics) to integrate 3D genomic and epigenomic data

239 Developments in epigenomics, toxicology, and therapeutic nucleic acids a

240 By combining epigenomics, transcriptomics and in-pouch marsupial tran

241 grate information from other "-omics" (e.g., epigenomics, transcriptomics as measured by RNA expressi

242 single nucleotide polymorphisms (SNPs) with epigenomics, transcriptomics, 3D chromatin organization

243 nologies assessing the lipidomics, genomics, epigenomics, transcriptomics, and proteomics of tissue s

244 bed investigations using omics technologies (epigenomics, transcriptomics, and proteomics) to better

245 l quantitative microbial profiling with host epigenomics, transcriptomics, genotyping, and in vitro a

246 erent high-throughput omics datasets, namely epigenomics, transcriptomics, glycomics and metabolomics

247 as in asthma and allergy research: genomics, epigenomics, transcriptomics, microbiomics, metabolomics

248 al multiomics assays-specifically, genomics, epigenomics, transcriptomics, proteomics, and metabolomi

249 ughput omics technologies, such as genomics, epigenomics, transcriptomics, proteomics, and metabolomi

250 fluenced by many factors including genomics, epigenomics, transcriptomics, proteomics, and metabolomi

251 sis of how techniques-encompassing genomics, epigenomics, transcriptomics, proteomics, and metabolomi

252 e of high-throughput technologies, including epigenomics, transcriptomics, proteomics, and metabolomi

253 Here, we utilized a multiomics approach (epigenomics, transcriptomics, proteomics, and phosphopro

254 hysiological profiles encompassing genomics, epigenomics, transcriptomics, proteomics, metabolomics a

255 ensional omics analyses, including genomics, epigenomics, transcriptomics, T cell receptor-repertoire

256 t developments in genomics, transcriptomics, epigenomics, transgenesis, and associated analytical tec

257 Using transcriptomics and epigenomics we generate a gene regulatory network compri

258 Using biochemical assays and epigenomics, we show that ETV6 competes with EWS-FLI1 fo

259 Using biochemical reconstitution and epigenomics, we show that MED12 carries out this functio

260 Through comparative epigenomics, we uncover a pool of conserved regulatory r

261 asurement technologies, collectively termed "epigenomics." We review major advances in epigenomic ana

262 The emerging field of social epigenomics, which seeks to link social stressors and pr

263 Comparative epigenomics, which subjects both epigenome and genome to

264 d landscapes of Nannochloropsis genomics and epigenomics will promote and accelerate community effort

265 This relatively new field, entitled epigenomics, will be advanced by the recently completed

266 al consequences were assessed by integrating epigenomics with genomics, transcriptomics, and environm

267 lytical approach that integrates single cell epigenomics with GWAS to prioritize risk variants and ge

268 te genomics, transcriptomics, proteomics and epigenomics with metabolomics will further enhance the v

269 eterogeneity by analyzing transcriptomics or epigenomics with spatial information preserved, but have

270 ene expression is a fundamental challenge in epigenomics, with profound implications for understandin