Informs about RNAs and DNA methylation. Lnc2Meth is an online resource that assists in comprehension of the expression of protein-coding or non-coding transcripts. Its purpose is to clarify the regulatory relationships between human lncRNAs and associated DNA methylation in different diseases.
Allows users to search for the prioritization scores of disease-lncRNA associations. lncRNADis is a database for querying prioritization scores of lncRNA-disease pairs. Users can choose between several methods for prioritization: SemFunSim_PBPA_RWR, Resnik_PBPA_RWR, Wang_PBPA_RWR, PSB_PBPA_RWR, Lin _PBPA_RWR, SemFunSim_PBPM_RWR, Resnik_PBPM_RWR, Wang_PBPM_RWR, PSB_PBPM_RWR, Lin _PBPM_RWR. lncRNADis is part of DincRNA, a bioinformatics resource for disease similarity calculation and non-coding RNA functional investigation.
A comprehensive regulatory network resource for human long non-coding RNAs (lncRNAs) and cancer genes. LnCaNet contains the pre-computed 8,494,907 significant co-expression pairs of 9641 lncRNAs and 2544 well-classified cancer genes in 2922 matched TCGA samples. In detail, we integrated 10 cancer gene lists from public database and calculate the co-expression with all the lncRNAs in 11 TCGA cancer types separately. Based on the resulted 110 co-expression networks, we identified 17 common regulatory pairs related to extracellular space shared in 11 cancers. We expect LnCaNet will enable researcher to explore lncRNA expression pattern, their affected cancer genes and pathways, biological significance in the context of specific cancer types and other useful annotation related to particular kind of lncRNA-cancer gene interaction.
Collects long non-coding RNA (IncRNA) data obtained from the analysis of RNA-Seq data from 50 samples. KTCNlncDB is a platform devoted to Keratoconus (KTCN) transcriptome. It is a unique resource that will be interest for researchers working in the fields of molecular biology, medicine and biotechnology. The database will significantly contribute to KTCN-related research and also other tasks aimed at deciphering the biology of lncRNAs.
Provides precise data about the associations between heart diseases (HDs) and non-coding RNAs (ncRNAs) from a variety of sources. HDncRNA is a database including two search methods, (i) a global search, in which users can input target information by texting any keywords such as species, disease name, ncRNA type, ncRNA name, in the search bar and (ii) a detailed search, in which three conditions are provided for users to get precise information.
Allows users to explore disease associations and non-coding RNAs (ncRNA) function from the perspective of disease similarity. DincRNA is a bioinformatics resource for disease similarity calculation and non-coding RNA functional analysis that provides web pages for users to query disease similarity score, ncRNA functional similarity score, and ncRNA-disease prioritization score. It also includes a search engine to query entities involving disease names, DOIDs, long non-coding RNA (lncRNA) symbols and microRNA (miRNA) symbols, and a batch processing function.
Contains experimentally supported interactions among lncRNAs, Environmental factors (EFs) and phenotypes. DLREFD offers an overview of the relationship between lnRNAs and EFs. It provides useful information for the diagnosis and prevention of diseases related to both genetic and EFs. This database has permitted identification of new disease indications for Food and Drug Administration (FDA)-approved drugs, which is named drug repositioning.