Abstract:
: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.
journal_name
Nucleic Acids Resjournal_title
Nucleic acids researchauthors
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 Xdoi
10.1093/nar/gkx985subject
Has Abstractpub_date
2018-01-04 00:00:00pages
D133-D138issue
D1eissn
0305-1048issn
1362-4962pii
4561655journal_volume
46pub_type
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journal_title:Nucleic acids research
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