Computational prediction of methylation status in human genomic sequences. - Wikidata - awgldk - TriplyDB

Computational prediction of methylation status in human genomic sequences.

Computational prediction of methylation status in human genomic sequences.

http://www.wikidata.org/entity/Q34771158

about

Inter-individual variation of DNA methylation and its implications for large-scale epigenome mapping An expanding universe of the non-coding genome in cancer biology Linking genome to epigenome Considering maternal dietary modulators for epigenetic regulation and programming of the fetal epigenome Enriched transcription factor binding sites in hypermethylated gene promoters in drug resistant cancer cells AKSmooth: enhancing low-coverage bisulfite sequencing data via kernel-based smoothing.MSVM-RFE: extensions of SVM-RFE for multiclass gene selection on DNA microarray data.Mining methylation for early detection of common cancers.CpG island mapping by epigenome prediction.Computational analyses of eukaryotic promoters CpG island methylation in a mouse model of lymphoma is driven by the genetic configuration of tumor cells.Putative zinc finger protein binding sites are over-represented in the boundaries of methylation-resistant CpG islands in the human genome.CyclinPred: a SVM-based method for predicting cyclin protein sequences.Discovery of DNA methylation markers in cervical cancer using relaxation ranking.ContDist: a tool for the analysis of quantitative gene and promoter properties.EpiGRAPH: user-friendly software for statistical analysis and prediction of (epi)genomic data Profile analysis and prediction of tissue-specific CpG island methylation classes.Epigenomic analysis of Alu repeats in human ependymomas.Predicting the impact of non-coding variants on DNA methylation.Genome-scale DNA methylation analysis A motif-independent metric for DNA sequence specificity.Genome architecture marked by retrotransposons modulates predisposition to DNA methylation in cancer Computational Epigenetics: the new scientific paradigm.Linking the epigenome to the genome: correlation of different features to DNA methylation of CpG islands.Estimating absolute methylation levels at single-CpG resolution from methylation enrichment and restriction enzyme sequencing methods Evidence for sequence biases associated with patterns of histone methylation.Applications of alignment-free methods in epigenomics CpGIMethPred: computational model for predicting methylation status of CpG islands in human genome.CpG islands: algorithms and applications in methylation studies.Computational epigenetics.Predicting genome-wide DNA methylation using methylation marks, genomic position, and DNA regulatory elements.Hyperconserved CpG domains underlie Polycomb-binding sites.Genome-wide polycomb target gene prediction in Drosophila melanogaster.Empirical bayes model comparisons for differential methylation analysis.EGFR promoter exhibits dynamic histone modifications and binding of ASH2L and P300 in human germinal matrix and gliomas.Improved Prediction of Non-methylated Islands in Vertebrates Highlights Different Characteristic Sequence Patterns Effects of SVM parameter optimization on discrimination and calibration for post-procedural PCI mortality.Predicting DNA Methylation State of CpG Dinucleotide Using Genome Topological Features and Deep Networks.Basset: learning the regulatory code of the accessible genome with deep convolutional neural networks Discovering high-resolution patterns of differential DNA methylation that correlate with gene expression changes

P2860

Q24657531-1925BA37-89DB-4198-9F5D-AA8013E1C57B Q26865920-7CA6857D-D155-4C15-89BB-C562BDAD2B15 Q26998850-69818EC9-EB9E-4C7D-B4E0-6380072FAF8C Q28080961-AF522023-C534-4735-88E0-370B83E59FFB Q28390582-83492C91-9DCB-4DD4-A16C-0F7571265C6C Q30882521-A4E30A35-2C15-448A-9CE4-298DF13281AA Q31112287-5262E948-AEBA-468C-9B32-133FDC4C877D Q33267829-F9097DA1-1CD4-4625-8A09-61C549439999 Q33287192-BDFA4E22-E929-4516-9D96-76C75E03E73A Q33300799-A1F26FA7-213C-4F6E-837E-3910FD55135C Q33301019-382C41AE-9D94-41FA-8462-2DA460D237FA Q33306680-FF983BAB-6FAB-4C16-8FBA-9E889D721B45 Q33348569-4BA97808-854A-4E27-9799-ADA17C6F2CC9 Q33386224-A210D0BC-DE61-4D90-9918-AFE5D5899D96 Q33398148-12ACC873-D86C-4A98-B423-F5C370FDF2D4 Q33408033-5507260F-8A84-442A-A686-EBE50E0BE2D2 Q33433199-7D3067E5-B61E-43C3-A7DF-562D2DA62D62 Q33859558-9242E401-B7F7-4E4F-90B4-D0A3BE2CB536 Q33878882-96A10E23-9694-498B-8901-54156420F91C Q34007375-14021816-5105-43F7-B3C1-B6B3A868177F Q34053870-08571CB8-403A-4AD7-888E-A780DC1E8B57 Q34153611-FC47CC1D-F757-4820-AD42-3AE2CD75A24B Q34214579-7839057F-BC8B-4473-B66D-A0BDD97E6306 Q34256386-A3561F73-B23C-4F75-B556-754EB01F852C Q34353782-DF170272-5542-4056-9792-F3ED35E2CADF Q34362921-1BF51863-40D1-4EF5-AFFC-C73CD36899FC Q34383048-9B27BDF9-198F-467B-8CBF-3881D18DB0C0 Q34570025-08348067-57F5-489C-A74D-1C4C808F8814 Q34605645-CBD2572A-10A1-4391-A600-FB54384BFC27 Q34715061-4068D2B0-D2FF-492C-B6A0-F009EB56AD49 Q35319065-3BF87904-E3D7-427C-8B5D-3AA22A3D94E5 Q35720547-6C094278-B5C1-43A3-8664-EE60D7D76C8F Q36106859-F7241AB5-1447-4533-98FC-15DE5F2E2285 Q36203916-A8205A0F-6F03-4F3B-A7D8-40A45474ABA8 Q36214341-67903E16-112D-4369-ABAB-424A36FB8E77 Q36226747-30D71F6A-F53C-43D8-8749-2999469DB943 Q36319325-547E7393-1A0D-45F0-8D55-D8C5FC143699 Q36501173-9C134281-E02F-4AAD-8918-DA8B5FD2006A Q37076984-D6E256E9-89C7-4E3C-8CF0-0C26A531CC35 Q37080416-29802A76-5CDC-4684-A535-811076137735

P2860

Computational prediction of methylation status in human genomic sequences.

http://www.wikidata.org/entity/Q34771158

description

2006 nî lūn-bûn

@nan

2006 թուականի Յուլիսին հրատարակուած գիտական յօդուած

@hyw

2006 թվականի հուլիսին հրատարակված գիտական հոդված

@hy

2006年の論文

@ja

2006年論文

@yue

2006年論文

@zh-hant

2006年論文

@zh-hk

2006年論文

@zh-mo

2006年論文

@zh-tw

2006年论文

@wuu

name

Computational prediction of methylation status in human genomic sequences.

@ast

Computational prediction of methylation status in human genomic sequences.

@en

Computational prediction of methylation status in human genomic sequences.

@nl

type

label

Computational prediction of methylation status in human genomic sequences.

@ast

Computational prediction of methylation status in human genomic sequences.

@en

Computational prediction of methylation status in human genomic sequences.

@nl

prefLabel

Computational prediction of methylation status in human genomic sequences.

@ast

Computational prediction of methylation status in human genomic sequences.

@en

Computational prediction of methylation status in human genomic sequences.

@nl

P1433

Q34771158-CEB2950C-192A-4101-88DD-3D23382B1A36

P1476

Q34771158-68B42DE6-91BF-43EA-BBD3-0968E9681608

P2093

Q34771158-13EA6EE1-6565-4550-969E-7AEDB19263B0

Q34771158-257BEA28-2C29-4C25-9E5B-F82C997BEC9B

Q34771158-3FB9A144-C069-4EA0-A5BE-09D68D0CF8BF

Q34771158-62E5B973-1834-4061-B460-158C64DA2029

Q34771158-6829D823-1284-44D0-B029-7F531E24656B

Q34771158-97586E32-CEB8-4CD5-AFB8-D1BDB6AAAC8F

Q34771158-A771BB9D-49C9-4B27-8A7C-A0460DF332CC

Q34771158-AE9BDB85-7343-480C-95E9-C84087E212F8

Q34771158-C05E47C7-3C19-4E1F-90C3-0A34CB0CD1A7

P2860

Q34771158-252941C7-AFA5-494B-AAD9-63727938DC08

Q34771158-26099E7D-52ED-4A5C-886D-F62F3B582D51

Q34771158-35E5A0C9-465A-4222-9BE9-1535EF7DA7D7

Q34771158-597F06DB-BC64-43D1-B3D0-D0584AEED9A2

Q34771158-63E9A72B-D125-4C79-9A56-133F8C478ED1

Q34771158-706EC290-97E3-4E1B-9510-DE5615D9CF68

Q34771158-7579BB85-1749-4280-B99E-954B8B41C1FD

Q34771158-95B537DD-A159-43E1-A888-6474A716D236

Q34771158-99899891-9739-4477-8DAD-7C3FAFA58981

Q34771158-A6B7052A-BE22-4C45-B6F9-5A9AEBD50094

P304

Q34771158-5F93F52E-E654-4218-A8E0-AEBD53DFA8CA

P31

Q34771158-E4E21F73-181B-4F64-953E-73D5A67F78E4

P356

Q34771158-F13024B4-8B3D-4B32-879A-15D33D701E0C

P407

Q34771158-0E281578-C855-4215-B06A-0EF5C6417F5C

P433

Q34771158-8E2770B6-0ED8-4423-AD31-1D6C876AA6DE

P478

Q34771158-9A19AED1-416A-458E-B59C-0B304DBF02EF

P577

Q34771158-9828B402-A7BF-484C-9381-9541558D4AE2

P5875

Q34771158-F87B6500-CD0D-40AB-BCA6-49A3D46658AE

P698

Q34771158-FF1C1215-CB3E-495D-AE03-53CEAA669ED5

P932

Q34771158-593AB341-A7CD-465A-AC06-7978E367AF00

P356

PNAS.0602949103

P1433

Proceedings of the National Academy of Sciences of the United States of America

P1476

Computational prediction of methylation status in human genomic sequences.

@en

P2093

Fatemah Haghighi

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

Jingyue Ju

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

John R Edwards

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

Michael Q Zhang

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

Nevenka Dimitrova

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

Rajdeep Das

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

Robert A Rollins

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

Timothy H Bestor

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

Zhenyu Xuan

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

P2860

Comprehensive analysis of CpG islands in human chromosomes 21 and 22

CpG islands in vertebrate genomes

Selection bias in gene extraction on the basis of microarray gene-expression data.

Identifying tissue-selective transcription factor binding sites in vertebrate promoters

Large-scale methylation analysis of human genomic DNA reveals tissue-specific differences between the methylation profiles of genes and pseudogenes.

Association of tissue-specific differentially methylated regions (TDMs) with differential gene expression.

Epigenomics: beyond CpG islands.

Application of bioinformatics in cancer epigenetics.

Predicting aberrant CpG island methylation

Number of CpG islands and genes in human and mouse.

P304

10713-10716

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

P31

scholarly article

P356

10.1073/PNAS.0602949103

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

P407

P433

28

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

P478

103

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

P577

2006-07-03T00:00:00Z

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

P5875

6965857

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

P698

16818882

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

P932

1502297

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