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1185 related items for PubMed ID: 27717381
21. The correlation of methylation levels measured using Illumina 450K and EPIC BeadChips in blood samples. Logue MW, Smith AK, Wolf EJ, Maniates H, Stone A, Schichman SA, McGlinchey RE, Milberg W, Miller MW. Epigenomics; 2017 Nov; 9(11):1363-1371. PubMed ID: 28809127 [Abstract] [Full Text] [Related]
22. Evaluating Reliability of DNA Methylation Measurement. Cao R, Guan W. Methods Mol Biol; 2022 Nov; 2432():15-24. PubMed ID: 35505204 [Abstract] [Full Text] [Related]
23. Comprehensive characterization, annotation and innovative use of Infinium DNA methylation BeadChip probes. Zhou W, Laird PW, Shen H. Nucleic Acids Res; 2017 Feb 28; 45(4):e22. PubMed ID: 27924034 [Abstract] [Full Text] [Related]
24. MethylToSNP: identifying SNPs in Illumina DNA methylation array data. LaBarre BA, Goncearenco A, Petrykowska HM, Jaratlerdsiri W, Bornman MSR, Hayes VM, Elnitski L. Epigenetics Chromatin; 2019 Dec 20; 12(1):79. PubMed ID: 31861999 [Abstract] [Full Text] [Related]
25. A systematic study of normalization methods for Infinium 450K methylation data using whole-genome bisulfite sequencing data. Wang T, Guan W, Lin J, Boutaoui N, Canino G, Luo J, Celedón JC, Chen W. Epigenetics; 2015 Dec 20; 10(7):662-9. PubMed ID: 26036609 [Abstract] [Full Text] [Related]
26. Identifying blood-specific age-related DNA methylation markers on the Illumina MethylationEPIC® BeadChip. Alsaleh H, Haddrill PR. Forensic Sci Int; 2019 Oct 20; 303():109944. PubMed ID: 31546163 [Abstract] [Full Text] [Related]
27. An evaluation of analysis pipelines for DNA methylation profiling using the Illumina HumanMethylation450 BeadChip platform. Marabita F, Almgren M, Lindholm ME, Ruhrmann S, Fagerström-Billai F, Jagodic M, Sundberg CJ, Ekström TJ, Teschendorff AE, Tegnér J, Gomez-Cabrero D. Epigenetics; 2013 Mar 20; 8(3):333-46. PubMed ID: 23422812 [Abstract] [Full Text] [Related]
28. Characterization of parent-of-origin methylation using the Illumina Infinium MethylationEPIC array platform. Hernandez Mora JR, Tayama C, Sánchez-Delgado M, Monteagudo-Sánchez A, Hata K, Ogata T, Medrano J, Poo-Llanillo ME, Simón C, Moran S, Esteller M, Tenorio J, Lapunzina P, Kagami M, Monk D, Nakabayashi K. Epigenomics; 2018 Jul 20; 10(7):941-954. PubMed ID: 29962238 [Abstract] [Full Text] [Related]
29. Comparison of DNA methylation measurements from EPIC BeadChip and SeqCap targeted bisulphite sequencing in PON1 and nine additional candidate genes. Khodasevich D, Smith AR, Huen K, Eskenazi B, Cardenas A, Holland N. Epigenetics; 2022 Dec 20; 17(13):1944-1955. PubMed ID: 35786310 [Abstract] [Full Text] [Related]
33. Validation of the new EPIC DNA methylation microarray (900K EPIC v2) for high-throughput profiling of the human DNA methylome. Noguera-Castells A, García-Prieto CA, Álvarez-Errico D, Esteller M. Epigenetics; 2023 Dec 05; 18(1):2185742. PubMed ID: 36871255 [Abstract] [Full Text] [Related]
35. Improving Infinium MethylationEPIC data processing: re-annotation of enhancers and long noncoding RNA genes and benchmarking of normalization methods. Bizet M, Defrance M, Calonne E, Bontempi G, Sotiriou C, Fuks F, Jeschke J. Epigenetics; 2022 Dec 05; 17(13):2434-2454. PubMed ID: 36354000 [Abstract] [Full Text] [Related]
39. Determination of DNA methylation levels using Illumina HumanMethylation450 BeadChips. Carless MA. Methods Mol Biol; 2015 Dec 05; 1288():143-92. PubMed ID: 25827880 [Abstract] [Full Text] [Related]
40. 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 Dec 05; 7(11):e50233. PubMed ID: 23209683 [Abstract] [Full Text] [Related] Page: [Previous] [Next] [New Search]