Format
Sort by
Items per page

Send to

Choose Destination

Links from PubMed

Items: 1 to 20 of 91

1.

DNA methylation data analysis and its application to cancer research.

Ma X, Wang YW, Zhang MQ, Gazdar AF.

Epigenomics. 2013 Jun;5(3):301-16. doi: 10.2217/epi.13.26. Review.

2.

Global DNA methylation profiling technologies and the ovarian cancer methylome.

Tang J, Fang F, Miller DF, Pilrose JM, Matei D, Huang TH, Nephew KP.

Methods Mol Biol. 2015;1238:653-75. doi: 10.1007/978-1-4939-1804-1_34. Review.

PMID:
25421685
3.

Analysis of genome-wide DNA methylation profiles by BeadChip technology.

Lin Q, Wagner W, Zenke M.

Methods Mol Biol. 2013;1049:21-33. doi: 10.1007/978-1-62703-547-7_3.

PMID:
23913206
4.

Evaluation of the Infinium Methylation 450K technology.

Dedeurwaerder S, Defrance M, Calonne E, Denis H, Sotiriou C, Fuks F.

Epigenomics. 2011 Dec;3(6):771-84. doi: 10.2217/epi.11.105.

5.

Mining cancer methylomes: prospects and challenges.

Stirzaker C, Taberlay PC, Statham AL, Clark SJ.

Trends Genet. 2014 Feb;30(2):75-84. doi: 10.1016/j.tig.2013.11.004. Epub 2013 Dec 21. Review.

PMID:
24368016
6.

Determination of DNA methylation levels using Illumina HumanMethylation450 BeadChips.

Carless MA.

Methods Mol Biol. 2015;1288:143-92. doi: 10.1007/978-1-4939-2474-5_10.

PMID:
25827880
7.

Predicting CpG methylation levels by integrating Infinium HumanMethylation450 BeadChip array data.

Fan S, Huang K, Ai R, Wang M, Wang W.

Genomics. 2016 Apr;107(4):132-7. doi: 10.1016/j.ygeno.2016.02.005. Epub 2016 Feb 26.

PMID:
26921858
8.

Comparison of Methyl-capture Sequencing vs. Infinium 450K methylation array for methylome analysis in clinical samples.

Teh AL, Pan H, Lin X, Lim YI, Patro CP, Cheong CY, Gong M, MacIsaac JL, Kwoh CK, Meaney MJ, Kobor MS, Chong YS, Gluckman PD, Holbrook JD, Karnani N.

Epigenetics. 2016;11(1):36-48. doi: 10.1080/15592294.2015.1132136. Epub 2016 Jan 19.

9.

Genome-wide DNA methylation analysis of patients with imprinting disorders identifies differentially methylated regions associated with novel candidate imprinted genes.

Docherty LE, Rezwan FI, Poole RL, Jagoe H, Lake H, Lockett GA, Arshad H, Wilson DI, Holloway JW, Temple IK, Mackay DJ.

J Med Genet. 2014 Apr;51(4):229-38. doi: 10.1136/jmedgenet-2013-102116. Epub 2014 Feb 5. Erratum in: J Med Genet. 2014 Jul;51(7):478.

10.

Analysis pipelines and packages for Infinium HumanMethylation450 BeadChip (450k) data.

Morris TJ, Beck S.

Methods. 2015 Jan 15;72:3-8. doi: 10.1016/j.ymeth.2014.08.011. Epub 2014 Sep 16. Review.

11.

A comparison of the whole genome approach of MeDIP-seq to the targeted approach of the Infinium HumanMethylation450 BeadChip(®) for methylome profiling.

Clark C, Palta P, Joyce CJ, Scott C, Grundberg E, Deloukas P, Palotie A, Coffey AJ.

PLoS One. 2012;7(11):e50233. doi: 10.1371/journal.pone.0050233. Epub 2012 Nov 29.

12.

A data-driven approach to preprocessing Illumina 450K methylation array data.

Pidsley R, Y Wong CC, Volta M, Lunnon K, Mill J, Schalkwyk LC.

BMC Genomics. 2013 May 1;14:293. doi: 10.1186/1471-2164-14-293.

14.

Discovery of cross-reactive probes and polymorphic CpGs in the Illumina Infinium HumanMethylation450 microarray.

Chen YA, Lemire M, Choufani S, Butcher DT, Grafodatskaya D, Zanke BW, Gallinger S, Hudson TJ, Weksberg R.

Epigenetics. 2013 Feb;8(2):203-9. doi: 10.4161/epi.23470. Epub 2013 Jan 11.

15.

Application of bioinformatics in cancer epigenetics.

Yang HH, Lee MP.

Ann N Y Acad Sci. 2004 May;1020:67-76. Review.

PMID:
15208184
16.

Enhancement of Plant Productivity in the Post-Genomics Era.

Thao NP, Tran LS.

Curr Genomics. 2016 Aug;17(4):295-6. doi: 10.2174/138920291704160607182507.

17.

A comprehensive overview of Infinium HumanMethylation450 data processing.

Dedeurwaerder S, Defrance M, Bizet M, Calonne E, Bontempi G, Fuks F.

Brief Bioinform. 2014 Nov;15(6):929-41. doi: 10.1093/bib/bbt054. Epub 2013 Aug 29. Review.

18.

Gene methylation in gastric cancer.

Qu Y, Dang S, Hou P.

Clin Chim Acta. 2013 Sep 23;424:53-65. doi: 10.1016/j.cca.2013.05.002. Epub 2013 May 10. Review.

19.

Marmal-aid--a database for Infinium HumanMethylation450.

Lowe R, Rakyan VK.

BMC Bioinformatics. 2013 Dec 12;14:359. doi: 10.1186/1471-2105-14-359.

20.

IMA: an R package for high-throughput analysis of Illumina's 450K Infinium methylation data.

Wang D, Yan L, Hu Q, Sucheston LE, Higgins MJ, Ambrosone CB, Johnson CS, Smiraglia DJ, Liu S.

Bioinformatics. 2012 Mar 1;28(5):729-30. doi: 10.1093/bioinformatics/bts013. Epub 2012 Jan 16.

Supplemental Content

Support Center