Lnc2Meth Edit

Citations: 2

z-index: 2

Basic information
Short name Lnc2Meth
Full name Lnc2Meth
Description 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.
URL http://www.bio-bigdata.com/Lnc2Meth
Year founded
Last update & version
Accessibility Accessible
Contact information

The contact information is provided to facilitate update of database information, and it is curated based on the contact details in the database or the related publications. To ensure effective contact with database constructors, we give priority to the contact details in the database.

University/Institution Harbin Medical University
Address College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
City
Province/State
Country/Region China
Contact name (PI/Team) Xia Li
Contact email (PI/Helpdesk) lixia@hrbmu.edu.cn
Data information
Data object
Data type
Database category
Major organism
Keyword
Publications
  • Lnc2Meth: a manually curated database of regulatory relationships between long non-coding RNAs and DNA methylation associated with human disease. [PMID: 29069510]
    Hui Zhi, Xin Li, Peng Wang, Yue Gao, Baoqing Gao, Dianshuang Zhou, Yan Zhang, Maoni Guo, Ming Yue, Weitao Shen, Shangwei Ning, Lianhong Jin, Xia Li,

    Lnc2Meth ( http://www.bio-bigdata.com/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)

    2 Citations (from Europe PMC, 2019-08-03)

Rank

  • Ranking in all databases: No. 2310
  • Ranking in category/categories:
    • Modification: No. 106
    • Health and medicine: No. 436
The box plots depict Z-index distribution for all databases in Database Commons and for specific database category/categories. The red line indicates log2(Z-index) of Lnc2Meth.

Word cloud

Related Database

Cited

Citing

Record metadata

  • Created on: 2018-01-28
    • ***ina@***c.cn [2019-05-14]
    • ***imabatool@***u.edu.pk [2018-04-13]

Community reviews 0 stars (0 reviews)

Data
quality & quantity
Content
organization & presentation
System
accessibility & reliability
Reviewed by