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Xiong Y, Wei Y, Gu Y, et al. DiseaseMeth version 2.0: a major expansion and update of the human disease methylation database. Nucleic Acids Res. 2016;45:D888-D895doi: 10.1093/nar/gkw1123.
Xiong, Y., Wei, Y., Gu, Y., Zhang, S., Lyu, J., Zhang, B., Chen, C., Zhu, J., Wang, Y., Liu, H., & Zhang, Y. (2017). DiseaseMeth version 2.0: a major expansion and update of the human disease methylation database. Nucleic acids research, 45D888-D895. https://doi.org/10.1093/nar/gkw1123
Xiong, Yichun, et al. "DiseaseMeth version 2.0: a major expansion and update of the human disease methylation database." Nucleic acids research vol. 45 (2017): D888-D895. doi: https://doi.org/10.1093/nar/gkw1123
Xiong Y, Wei Y, Gu Y, Zhang S, Lyu J, Zhang B, Chen C, Zhu J, Wang Y, Liu H, Zhang Y. DiseaseMeth version 2.0: a major expansion and update of the human disease methylation database. Nucleic Acids Res. 2017 Jan 04;45:D888-D895. doi: 10.1093/nar/gkw1123. Epub 2016 Nov 29. PMID: 27899673; PMCID: PMC5210584.
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Nucleic Acids Res. 2017 Jan 04;45:D888-D895. doi: 10.1093/nar/gkw1123. Epub 2016 Nov 29.

DiseaseMeth version 2.0: a major expansion and update of the human disease methylation database.

Nucleic acids research

Yichun Xiong, Yanjun Wei, Yue Gu, Shumei Zhang, Jie Lyu, Bin Zhang, Chuangeng Chen, Jiang Zhu, Yihan Wang, Hongbo Liu, Yan Zhang

Affiliations

  1. College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
  2. Dan L. Duncan Cancer Center, Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030, USA.
  3. College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China [email protected].
  4. College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China [email protected].

PMID: 27899673 PMCID: PMC5210584 DOI: 10.1093/nar/gkw1123

Abstract

The human disease methylation database (DiseaseMeth, http://bioinfo.hrbmu.edu.cn/diseasemeth/) is an interactive database that aims to present the most complete collection and annotation of aberrant DNA methylation in human diseases, especially various cancers. Recently, the high-throughput microarray and sequencing technologies have promoted the production of methylome data that contain comprehensive knowledge of human diseases. In this DiseaseMeth update, we have increased the number of samples from 3610 to 32 701, the number of diseases from 72 to 88 and the disease-gene associations from 216 201 to 679 602. DiseaseMeth version 2.0 provides an expanded comprehensive list of disease-gene associations based on manual curation from experimental studies and computational identification from high-throughput methylome data. Besides the data expansion, we also updated the search engine and visualization tools. In particular, we enhanced the differential analysis tools, which now enable online automated identification of DNA methylation abnormalities in human disease in a case-control or disease-disease manner. To facilitate further mining of the disease methylome, three new web tools were developed for cluster analysis, functional annotation and survival analysis. DiseaseMeth version 2.0 should be a useful resource platform for further understanding the molecular mechanisms of human diseases.

© The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research.

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