ライフサイエンスコーパス: epigenomics

1 e epigenetic data sets (www.ncbi.nlm.nih.gov/epigenomics).

2 e epigenetic data sets (www.ncbi.nlm.nih.gov/epigenomics).

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

4 represents a general strategy for structural epigenomics.

5 n order to facilitate biomedical research in epigenomics.

6 ween measurement and function in single-cell epigenomics.

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

8 integrative chemical genetics and functional epigenomics.

9 methylKit) and provides a needed resource in epigenomics.

10 ding genetic profiling, transcriptomics, and epigenomics.

11 pecies that are viewable and downloadable in Epigenomics.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

32 This epigenomics approach provides a comprehensive study of t

33 Our comprehensive epigenomics approach to the analysis of human macrophage

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

35 Current epigenomics approaches have facilitated the genome-wide

36 Epigenomics-based annotation revealed a highly dynamic r

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

38 persensitive regions from ENCODE and Roadmap Epigenomics cell lines.

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

40 The Roadmap Epigenomics Consortium has published whole-genome functi

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

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

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

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

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

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

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

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

49 pe and supports their integration with other epigenomics data.

50 or the integrative analysis of heterogeneous epigenomics data.

51 The Epigenomics database at the National Center for Biotechn

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

68 l-Analyzer is available at http://github.com/epigenomics/methylmaps.

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

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

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

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

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

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

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

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

77 11 reference epigenomes from the NIH Roadmap Epigenomics project, we determine tissue-specific epigen

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

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

80 Epigenomics provides the context for understanding the f

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

82 The Epigenomics resource also provides the user with a uniqu

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

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

85 The Epigenomics resource at the National Center for Biotechn

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

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

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

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

90 nation of multiple activation and repression epigenomics signals.

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

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

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

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

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

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

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

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