Similar articles for PMID: 24368016

Year	Number of Results
2003	1
2004	1
2007	1
2008	2
2009	1
2010	6
2011	9
2012	9
2013	23
2014	27
2015	36
2016	29
2017	33
2018	25
2019	16
2020	18
2021	13
2022	7
2023	5
2024	0

1

Mining cancer methylomes: prospects and challenges.

Stirzaker C, Taberlay PC, Statham AL, Clark SJ. Stirzaker C, et al. Trends Genet. 2014 Feb;30(2):75-84. doi: 10.1016/j.tig.2013.11.004. Epub 2013 Dec 21. Trends Genet. 2014. PMID: 24368016 Review.

2

Genome-wide DNA methylome variation in two genetically distinct chicken lines using MethylC-seq.

Li J, Li R, Wang Y, Hu X, Zhao Y, Li L, Feng C, Gu X, Liang F, Lamont SJ, Hu S, Zhou H, Li N. Li J, et al. BMC Genomics. 2015 Oct 23;16:851. doi: 10.1186/s12864-015-2098-8. BMC Genomics. 2015. PMID: 26497311 Free PMC article.

3

Studying the epigenome using next generation sequencing.

Ku CS, Naidoo N, Wu M, Soong R. Ku CS, et al. J Med Genet. 2011 Nov;48(11):721-30. doi: 10.1136/jmedgenet-2011-100242. Epub 2011 Aug 8. J Med Genet. 2011. PMID: 21825079 Review.

4

Global DNA methylation profiling technologies and the ovarian cancer methylome.

Tang J, Fang F, Miller DF, Pilrose JM, Matei D, Huang TH, Nephew KP. Tang J, et al. Methods Mol Biol. 2015;1238:653-75. doi: 10.1007/978-1-4939-1804-1_34. Methods Mol Biol. 2015. PMID: 25421685 Review.

5

Generating Multiple Base-Resolution DNA Methylomes Using Reduced Representation Bisulfite Sequencing.

Chatterjee A, Rodger EJ, Stockwell PA, Le Mée G, Morison IM. Chatterjee A, et al. Methods Mol Biol. 2017;1537:279-298. doi: 10.1007/978-1-4939-6685-1_16. Methods Mol Biol. 2017. PMID: 27924600

6

Reduced representation bisulfite sequencing to identify global alteration of DNA methylation.

Nagarajan A, Roden C, Wajapeyee N. Nagarajan A, et al. Methods Mol Biol. 2014;1176:23-31. doi: 10.1007/978-1-4939-0992-6_3. Methods Mol Biol. 2014. PMID: 25030916

7

Systematic identification and annotation of human methylation marks based on bisulfite sequencing methylomes reveals distinct roles of cell type-specific hypomethylation in the regulation of cell identity genes.

Liu H, Liu X, Zhang S, Lv J, Li S, Shang S, Jia S, Wei Y, Wang F, Su J, Wu Q, Zhang Y. Liu H, et al. Nucleic Acids Res. 2016 Jan 8;44(1):75-94. doi: 10.1093/nar/gkv1332. Epub 2015 Dec 3. Nucleic Acids Res. 2016. PMID: 26635396 Free PMC article.

8

Analysis of gene-specific and genome-wide sperm DNA methylation.

Hammoud SS, Cairns BR, Carrell DT. Hammoud SS, et al. Methods Mol Biol. 2013;927:451-8. doi: 10.1007/978-1-62703-038-0_39. Methods Mol Biol. 2013. PMID: 22992936 Review.

9

Tools and Strategies for Analysis of Genome-Wide and Gene-Specific DNA Methylation Patterns.

Chatterjee A, Rodger EJ, Morison IM, Eccles MR, Stockwell PA. Chatterjee A, et al. Methods Mol Biol. 2017;1537:249-277. doi: 10.1007/978-1-4939-6685-1_15. Methods Mol Biol. 2017. PMID: 27924599 Review.

10

Integration of high-resolution methylome and transcriptome analyses to dissect epigenomic changes in childhood acute lymphoblastic leukemia.

Busche S, Ge B, Vidal R, Spinella JF, Saillour V, Richer C, Healy J, Chen SH, Droit A, Sinnett D, Pastinen T. Busche S, et al. Cancer Res. 2013 Jul 15;73(14):4323-36. doi: 10.1158/0008-5472.CAN-12-4367. Epub 2013 May 30. Cancer Res. 2013. PMID: 23722552

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