De novo identification of differentially methylated regions in the human genome. - Wikidata - wikimedia - TriplyDB

De novo identification of differentially methylated regions in the human genome.

De novo identification of differentially methylated regions in the human genome.

http://www.wikidata.org/entity/Q35599253

about

Practical aspects of NGS-based pathways analysis for personalized cancer science and medicine Establishing an analytic pipeline for genome-wide DNA methylation Integrating Epigenomics into the Understanding of Biomedical Insight Sex differences in DNA methylation assessed by 450 K BeadChip in newborns A cross-package Bioconductor workflow for analysing methylation array data Estimating and accounting for tumor purity in the analysis of DNA methylation data from cancer studies Differential DNA methylation and lymphocyte proportions in a Costa Rican high longevity region.Genome-wide DNA methylation analysis reveals loci that distinguish different types of adipose tissue in obese individuals Persistent DNA methylation changes associated with prenatal mercury exposure and cognitive performance during childhood Identification of differentially methylated BRCA1 and CRISP2 DNA regions as blood surrogate markers for cardiovascular disease TET-Catalyzed 5-Hydroxymethylation Precedes HNF4A Promoter Choice during Differentiation of Bipotent Liver Progenitors.Multigenerational epigenetic inheritance in humans: DNA methylation changes associated with maternal exposure to lead can be transmitted to the grandchildren.DNA methylation levels and long-term trihalomethane exposure in drinking water: an epigenome-wide association study.Placental expression profile of imprinted genes impacts birth weight The effects of long-term daily folic acid and vitamin B12 supplementation on genome-wide DNA methylation in elderly subjects Variability of DNA Methylation within Schizophrenia Risk Loci across Subregions of Human Hippocampus.Genome-wide placental DNA methylation analysis of severely growth-discordant monochorionic twins reveals novel epigenetic targets for intrauterine growth restriction DNA methylation signature of human fetal alcohol spectrum disorder.Prostate tumor DNA methylation is associated with cigarette smoking and adverse prostate cancer outcomes.DNA methylation and smoking in Korean adults: epigenome-wide association study.Critical evaluation of the Illumina MethylationEPIC BeadChip microarray for whole-genome DNA methylation profiling.Effect of prenatal DHA supplementation on the infant epigenome: results from a randomized controlled trial.Germline BRCA2 mutations drive prostate cancers with distinct evolutionary trajectories.Small-Magnitude Effect Sizes in Epigenetic End Points are Important in Children's Environmental Health Studies: The Children's Environmental Health and Disease Prevention Research Center's Epigenetics Working Group.Unique DNA methylation signature in HPV-positive head and neck squamous cell carcinomas.Interaction between prenatal pesticide exposure and a common polymorphism in the PON1 gene on DNA methylation in genes associated with cardio-metabolic disease risk-an exploratory study Novel molecular subgroups for clinical classification and outcome prediction in childhood medulloblastoma: a cohort study.Analysis of the breast cancer methylome using formalin-fixed paraffin-embedded tumour.DNA methylation signatures of chronic alcohol dependence in purified CD3+ T-cells of patients undergoing alcohol treatment.Epigenetic research in multiple sclerosis: progress, challenges, and opportunities.CHARGE and Kabuki Syndromes: Gene-Specific DNA Methylation Signatures Identify Epigenetic Mechanisms Linking These Clinically Overlapping Conditions.DM-BLD: differential methylation detection using a hierarchical Bayesian model exploiting local dependency.Viral driven epigenetic events alter the expression of cancer-related genes in Epstein-Barr-virus naturally infected Burkitt lymphoma cell lines.Epigenome-wide association study of chronic obstructive pulmonary disease and lung function in Koreans.Epigenetic regulation of OAS2 shows disease-specific DNA methylation profiles at individual CpG sites.Newborn genome-wide DNA methylation in association with pregnancy anxiety reveals a potential role for GABBR1.Pubertal development in healthy children is mirrored by DNA methylation patterns in peripheral blood.Computational epigenomics: challenges and opportunities.Maternal obesity alters fatty acid oxidation, AMPK activity, and associated DNA methylation in mesenchymal stem cells from human infants.Preconception urinary phthalate concentrations and sperm DNA methylation profiles among men undergoing IVF treatment: a cross-sectional study.

P2860

Q26748603-47A5E4E0-C227-442C-8A71-0193CD578092 Q26749004-F06428AA-C196-4599-843D-62384417CAA3 Q28077579-AA282776-BDF5-4278-BA3E-2AF9F5D8B4BB Q28393566-1BF8154D-749E-4050-950A-FFAA78781340 Q31110861-7E5EC728-E9EC-411B-9A87-EB8D4D7C88C4 Q31156822-BD9C983F-8EBF-4ED2-A07A-C2D0FB5C1869 Q33612730-F1511B41-806E-460D-9170-2B5E92EDCDDA Q33634707-674B7FC9-7E77-4839-97BE-7E8F0752B577 Q33671228-1CFEE686-0BCF-4253-A436-9DE370D8F856 Q33895047-E4C2B68D-6774-46A4-8F7A-DB089E3232C6 Q33905456-B06FBFCB-6E21-46B5-A3D5-FF5A08957C7B Q36101802-6E1B337A-CCB1-406A-B185-775902CD871C Q36213029-36B29F37-A5C9-460B-A19E-2034361E2224 Q36216048-8DA3BDED-1A0E-4259-BCCA-3A1CCDD280CE Q36278456-5460C3D3-D8BD-46C4-8438-AE1A55547423 Q36371973-A280B849-DD48-4BB9-B3BE-7B865816BE1A Q37024319-7B64071B-C31D-4D16-9E28-E7E547E1FEDD Q37050340-47E3DDD1-0C78-4053-A5A3-214FE3B8012E Q37059172-0CBFD88E-44E4-4928-80C6-F2F17903048A Q37278863-2CE5A2C8-4365-409C-8772-7363BD73FE1F Q37322236-D7B69BEE-4548-49F7-B011-400F266CC4BE Q37394737-580B3C68-6722-4BB2-AB5B-F46CC3A55504 Q37581351-28151CD9-D6F9-4067-862C-60307A4C524E Q37738960-7384D833-8B4F-4BC4-979A-083878758CCE Q37739301-794D5A1F-CAE0-47C3-8DC2-27DADC77727A Q37739313-B950F286-B78B-461B-AB88-DFCDD61B6C52 Q38374250-769D56F3-71E6-43EF-BDCD-49C23A1E6D6B Q38378456-C247DD09-D632-4FBA-8FEA-9CA4E9726139 Q38651345-10BFDF4F-6623-437F-BD09-D50685A38B71 Q38654321-98D59171-2710-4723-BEFE-4B8C93B3C950 Q38704694-B5630AD7-C33C-411E-B889-8CDFE6D5D055 Q39402478-982B7C5D-F0EE-4E95-96EC-E73F0E053525 Q40115928-D864C930-E1CE-43FE-A693-9C64204075F7 Q40157543-3D23D3E4-4EB9-4320-B436-B8F59B53191F Q40971308-A5FA08E7-75B3-4DB5-AAD7-30EDF461D795 Q42281051-A2EA4279-31D9-4D10-AD85-C5A41F367A12 Q42531766-255B5213-A5B2-4C11-B6C8-38E8DECE08FB Q43177051-8F78542F-1ADD-4681-93E5-D6FBC9AE34DB Q45810128-581D6FB2-CB48-45BC-93E5-8EA9B4F81A9E Q47245202-010B8015-4936-45FE-A0BD-6A44901423EA

P2860

De novo identification of differentially methylated regions in the human genome.

http://www.wikidata.org/entity/Q35599253

description

2015 nî lūn-bûn

@nan

2015年の論文

@ja

2015年論文

@yue

2015年論文

@zh-hant

2015年論文

@zh-hk

2015年論文

@zh-mo

2015年論文

@zh-tw

2015年论文

@wuu

2015年论文

@zh

2015年论文

@zh-cn

name

De novo identification of differentially methylated regions in the human genome.

@ast

De novo identification of differentially methylated regions in the human genome.

@en

type

label

De novo identification of differentially methylated regions in the human genome.

@ast

De novo identification of differentially methylated regions in the human genome.

@en

prefLabel

De novo identification of differentially methylated regions in the human genome.

@ast

De novo identification of differentially methylated regions in the human genome.

@en

P1433

Q35599253-E4FF178E-ADAD-4178-A1AA-C87E9ED6FE82

P1476

Q35599253-552EE7A5-29AA-42AE-8DF0-DF36EB01EAC6

P2093

Q35599253-2BD895C5-D56F-4DCD-A5A9-48A736CB29A4

Q35599253-69AEB6CD-29CB-4C69-B099-F5605F74ACA9

Q35599253-73930396-C80C-47F1-B5D3-F7389014996D

Q35599253-A11CCB55-91EB-400D-A008-6B6F3B113193

Q35599253-ED60ED3D-0F1B-4641-9563-E4379D13C6CC

Q35599253-F9F2D434-24B8-4D18-B49A-87705147E5D0

P2860

Q35599253-048C193A-A7D7-4DA5-8206-6C1ED3C7A616

Q35599253-065AB0ED-2548-4F43-8D99-94759655BB41

Q35599253-09BAA0BD-C4B4-4F17-9D9B-B38BB0396091

Q35599253-0FB56036-AC7C-4308-979D-73CD239E2EE9

Q35599253-1849CA75-502D-46CB-BF1C-2FFBCA24EB00

Q35599253-20850E0F-06C7-4605-B362-13D9AF8459F2

Q35599253-22CC0DA2-E96E-40FE-B6C0-046DAD47F92C

Q35599253-263D2D9E-5535-42CF-A16A-04D4A04ACC58

Q35599253-26E8C0E1-22D6-4244-9163-9ACA51A604C5

Q35599253-29518ED6-F2C3-4AD7-8BF0-4C3ACF97A0B2

P2888

Q35599253-87E525A7-EEBE-4EEB-984E-D9A12EE0BB3A

P304

Q35599253-EA628A7A-7CFB-41E1-BD9D-04B17728D271

P31

Q35599253-D5B701B0-D98C-41EC-9E96-9D9681FFB64C

P356

Q35599253-946B725C-C5FC-41A7-93F7-23CDDBB66D41

P478

Q35599253-A5AE7AB8-4EDB-4D3C-85C3-330EA3915BF7

P50

Q35599253-C24D2331-32ED-4E09-8040-CDA16814E387

Q35599253-D1DCDC5E-067D-49FF-A071-05D545196139

P577

Q35599253-CC1B6052-CC6A-4EBE-A37E-615DCD1AFFEA

P5875

Q35599253-BD548CA6-8C19-454A-8688-20A392BE86CA

P6179

Q35599253-7359E4A3-BB22-452B-8C88-6080529BA53D

P698

Q35599253-2AFE66BF-5C1C-4966-AD6E-79D74D2ACDCE

P932

Q35599253-8BD61914-5C91-4DA8-958E-E3FB448AF695

P356

P1433

Epigenetics & Chromatin

P1476

De novo identification of differentially methylated regions in the human genome

@en

P2093

Aaron L Statham

http://www.w3.org/2001/XMLSchema#string

Katherine Samaras

http://www.w3.org/2001/XMLSchema#string

Michael J Buckley

http://www.w3.org/2001/XMLSchema#string

Reginald V Lord

http://www.w3.org/2001/XMLSchema#string

Ruth Pidsley

http://www.w3.org/2001/XMLSchema#string

Timothy J Peters

http://www.w3.org/2001/XMLSchema#string

P2860

BSmooth: from whole genome bisulfite sequencing reads to differentially methylated regions

Interchromosomal associations between alternatively expressed loci

Distinct DNA methylomes of newborns and centenarians

QDMR: a quantitative method for identification of differentially methylated regions by entropy

SWAN: Subset-quantile within array normalization for illumina infinium HumanMethylation450 BeadChips

Differential methylation of tissue- and cancer-specific CpG island shores distinguishes human induced pluripotent stem cells, embryonic stem cells and fibroblasts

Human DNA methylomes at base resolution show widespread epigenomic differences

Comparative isoschizomer profiling of cytosine methylation: the HELP assay

Sequencing technologies - the next generation

The fundamental role of epigenetic events in cancer

P2888

P304

6

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1186/1756-8935-8-6

http://www.w3.org/2001/XMLSchema#string

P478

8

http://www.w3.org/2001/XMLSchema#string

P50

P577

2015-01-27T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P5875

276297565

http://www.w3.org/2001/XMLSchema#string

P6179

1009478642

http://www.w3.org/2001/XMLSchema#string

P698

25972926

http://www.w3.org/2001/XMLSchema#string

P932

4429355

http://www.w3.org/2001/XMLSchema#string