Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

General information

Full name: regulatory relationships between long non-coding RNAs and DNA methylation
Description: Lnc2Meth collects and illustrates the regulatory relationships between lncRNAs and DNA methylation in human diseases with both experimentally verified and predicted informationa manually curated database. It aims to provide a comprehensive resource and web tool for clarifying the regulatory relationships between human lncRNAs and associated DNA methylation status.
Year founded: 2018
Last update: 2018
Version: v1.0
Real time : Checking...
Country/Region: China

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Contact information

University/Institution: Harbin Medical University
Address: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
City: Harbin
Province/State: Heilongjiang
Country/Region: China
Contact name (PI/Team): Xia Li
Contact email (PI/Helpdesk):


Lnc2Meth: a manually curated database of regulatory relationships between long non-coding RNAs and DNA methylation associated with human disease. [PMID: 29069510]
Zhi H, Li X, Wang P, Gao Y, Gao B, Zhou D, Zhang Y, Guo M, Yue M, Shen W, Ning S, Jin L, Li X.

Lnc2Meth ( ), an interactive resource to identify regulatory relationships between human long non-coding RNAs (lncRNAs) and DNA methylation, is not only a manually curated collection and annotation of experimentally supported lncRNAs-DNA methylation associations but also a platform that effectively integrates tools for calculating and identifying the differentially methylated lncRNAs and protein-coding genes (PCGs) in diverse human diseases. The resource provides: (i) advanced search possibilities, e.g. retrieval of the database by searching the lncRNA symbol of interest, DNA methylation patterns, regulatory mechanisms and disease types; (ii) abundant computationally calculated DNA methylation array profiles for the lncRNAs and PCGs; (iii) the prognostic values for each hit transcript calculated from the patients clinical data; (iv) a genome browser to display the DNA methylation landscape of the lncRNA transcripts for a specific type of disease; (v) tools to re-annotate probes to lncRNA loci and identify the differential methylation patterns for lncRNAs and PCGs with user-supplied external datasets; (vi) an R package (LncDM) to complete the differentially methylated lncRNAs identification and visualization with local computers. Lnc2Meth provides a timely and valuable resource that can be applied to significantly expand our understanding of the regulatory relationships between lncRNAs and DNA methylation in various human diseases.

Nucleic Acids Res. 2018:46(D1) | 21 Citations (from Europe PMC, 2023-03-18)


All databases:
1795/5565 (67.763%)
100/259 (61.776%)
Health and medicine:
406/1285 (68.482%)
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Record metadata

Created on: 2018-01-28
Curated by:
Lina Ma [2023-03-10]
Lina Ma [2023-02-18]
Lina Ma [2019-05-14]
Fatima Batool [2018-04-13]