Database Commons

a catalog of biological databases

e.g., animal; RNA; Methylation; China

Database Profile

General information

Full name: A database of DNA Methylation and gene expression in Human Cancer
Description: The human pan-cancer methylation database, MethHC is a web based resource focused on the DNA methylation of human diseases. MethHC integrated data such as DNA methylation, gene expression, microRNA methylation, microRNA expression, and the correlation of methylation and gene expression from TCGA (The Cancer Genome Atlas)
Year founded: 2014
Last update: 2014-6
Version: v1.0.3
Real time : Checking...
Country/Region: China
Data type:
Data object:
Database category:
Major organism:

Contact information

University/Institution: National Chiao Tung University
Address: Hsin-Chu 300,Taiwan
City: Hsin-Chu
Province/State: Taiwan
Country/Region: China
Contact name (PI/Team): Hsien-Da Huang
Contact email (PI/Helpdesk):


MethHC: a database of DNA methylation and gene expression in human cancer. [PMID: 25398901]
Huang WY, Hsu SD, Huang HY, Sun YM, Chou CH, Weng SL, Huang HD.

We present MethHC (, a database comprising a systematic integration of a large collection of DNA methylation data and mRNA/microRNA expression profiles in human cancer. DNA methylation is an important epigenetic regulator of gene transcription, and genes with high levels of DNA methylation in their promoter regions are transcriptionally silent. Increasing numbers of DNA methylation and mRNA/microRNA expression profiles are being published in different public repositories. These data can help researchers to identify epigenetic patterns that are important for carcinogenesis. MethHC integrates data such as DNA methylation, mRNA expression, DNA methylation of microRNA gene and microRNA expression to identify correlations between DNA methylation and mRNA/microRNA expression from TCGA (The Cancer Genome Atlas), which includes 18 human cancers in more than 6000 samples, 6548 microarrays and 12 567 RNA sequencing data. © The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research.

Nucleic Acids Res. 2015:43(Database issue) | 151 Citations (from Europe PMC, 2021-06-19)


All databases:
360/5061 (92.907%)
16/228 (93.421%)
Total Rank

Community reviews

Not Rated
Data quality & quantity:
Content organization & presentation
System accessibility & reliability:

Word cloud

Record metadata

Created on: 2015-06-20
Curated by:
lin liu [2016-03-26]
Zhang Zhang [2015-12-31]
Li Yang [2015-11-23]
Li Yang [2015-06-26]