title: DiseaseMeth version 2.0: a major expansion and update of the human disease methylation database.
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.
authors.affiliation: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
authors.forename: Yichun
authors.initials: Y
authors.lastname: Xiong
authors.affiliation: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
authors.forename: Yanjun
authors.initials: Y
authors.lastname: Wei
authors.affiliation: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
authors.forename: Yue
authors.initials: Y
authors.lastname: Gu
authors.affiliation: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
authors.forename: Shumei
authors.initials: S
authors.lastname: Zhang
authors.affiliation: Dan L. Duncan Cancer Center, Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030, USA.
authors.forename: Jie
authors.initials: J
authors.lastname: Lyu
authors.affiliation: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
authors.forename: Bin
authors.initials: B
authors.lastname: Zhang
authors.affiliation: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
authors.forename: Chuangeng
authors.initials: C
authors.lastname: Chen
authors.affiliation: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
authors.forename: Jiang
authors.initials: J
authors.lastname: Zhu
authors.affiliation: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
authors.forename: Yihan
authors.initials: Y
authors.lastname: Wang
authors.affiliation: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China hongbo919@gmail.com.
authors.forename: Hongbo
authors.initials: H
authors.lastname: Liu
authors.affiliation: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China tyozhang@ems.hrbmu.edu.cn.
authors.forename: Yan
authors.initials: Y
authors.lastname: Zhang
mesh_terms: D019295:Computational Biology / Q000379:methods*; D019175:DNA Methylation; D030541:Databases, Genetic; D057890:Epigenomics / Q000379:methods; D020869:Gene Expression Profiling / Q000379:methods; D056726:Genetic Association Studies / Q000379:methods; D006801:Humans; D057386:Search Engine; D012984:Software; D064878:Web Browser