Permits users to recognize the underlying mechanisms of anticancer drug responses mediated by miRNAs. SMiR-NBI can grade new miRNAs for a given small molecule or predict new small molecules for a miRNA of interest via its personalized network. The platform is useful for the identification of miRNAs as potential cancer pharmacogenomic biomarkers in precision medicine.
Provides integrated web-based server with comprehensive knowledge base and sophisticated computation pipelines for miRNA-target identification. miRNACancerMAP was developed to (i) identify the active miRNA-targets regulation in cancer by combining sequence-based interaction predictions from various algorithms, and context-dependent expression evidence; (ii) classify the lncRNA-mediated sponge regulations; (iii) construct the miRNA-centered regulatory network annotated with functional analysis and (iv) provide a knowledge map merging all of the information in an interactive interface.
Contains all of the potential miRNA-disease associations (MDAs) and environmental factors-disease associations (EDAs) found by computational program. PEMDAM is a list in which users can find the candidate diseases linked to miRNAs. This tool turns on a known environmental factor (EF)-miRNA bipartite network collected from the miREnvironment database. It permits researchers to analyze both how tobacco influences human health at the miRNA level and the breast cancer.
Gathers data about associations between Alzheimer’s disease (AD) related miRNAs and bioactive small molecules. SmiRN-AD allows users to find information by miRNA or the small molecule. The database permits to visualize the stem-loop structure of primary miRNAs, the corresponding p-values, the associated small molecules and the consistently differentially expressed target genes. Each search query can return an illustration of the miRNA and small molecule associations.
Provides a platform with various multidimensional information for modeling animal diseases. VetBioBase collects datasets of microRNAs (miRNA), annotations, and other biomarkers of various infectious, genetic and metabolic diseases. This repository contains tools and programs designed to facilitate data mining and to bring data analysis guidance. The species represented in this platform are cow, pig, chicken, horse and dog.
Allows comparative genomic analyses of miRNA sequencing data derived from more than 9500 cancer patients tissue samples available in the Cancer Genome Atlas (TCGA). OMCD is an online repository that contains several associated clinical information and allows users to browse them by organ-specific terms common to the TCGA. Moreover, it permits several operations: (1) displaying TCGA miRNA sequencing data; (2) exploring miRNA clusters across cancer types; and (3) statistical analysis of differentially expressed miRNAs for each cancer type.
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 get information about prioritized immune miRNA disease associations. ImmunemiR gathers miRNAs specific to inflammation, autoimmune diseases and cancer. It includes a set of 245 immune miRNAs associated with 92 Online Mendelian Inheritance in Man (OMIM) disease categories classified to specific immune diseases by a random walk ranking algorithm. Searches can be made by gene, miRNA or disease.
Provides information about the effect of miRNA expression on dysregulation of molecular pathways as observed in various disease conditions. miRwayDB is a manually curated database which records an exhaustive list of miRNA-pathway relationships for more of 70 disease conditions. This resource can also be used for other biomedical approaches such as validation of computational analysis, integrated analysis and prediction of computational model.
Provides information about genes and miRNAs potentially involved in the development of endometrial cancer (EC). miREC focuses on EC to facilitate the derivation of disease specific information. The search tools of this database permit to find EC-associated miRNAs from genomic location, type of deregulation or target genes. This repository can be used to map connections between miRNA and target genes to identify specific miRNAs related to EC.
Provides privilege to the user to customize the result by choosing the target prediction method and confidence level for mining associations between cancer causing miRNAs. CAMi-Finder is a resource for human cancer miRNA associations. It provides two types of functionalities: (i) showing all the validated cancer-miRNA relationship with a mouse-click; and (ii) predicts novel cancer-miRNA relationships by mining predicted miRNA-target genes. It provides an easy submission interface through which scientists can submit new, validated cancer-miRNA associations by filling the fields given in the `New Submission' form.
Allows users to search for the prioritization scores of disease-microRNA (miRNA) associations. miRNADis is a database for querying prioritization scores of miRNA-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. miRNADis is part of DincRNA, a bioinformatics resource for disease similarity calculation and non-coding RNA functional analysis.
Gathers the experimentally supported miRNA–environmental factors (EFs) interactions. miren is a repository containing more than 2500 entries, including 800 miRNAs, ,260 environmental factors, ,180 phenotypes, and 17 species. It also integrates Human miRNA (microRNA) Disease Database (HMDD) data. This database is useful for investigating whether miRNA characteristics have roles in miRNA–EFs interactions.
A knowledgebase containing data on genes and miRNAs, the diseases they are associated with, the drugs they are targeted by, and the pathways and networks they act within. Based on its extensive compilation of published functional attributes, the powerful ontology search query system allows scientists to quickly find answers to questions relevant to their research without reading through long lists of publications. Specialized tools for gene and miRNA set analysis make it easy to identify shared functional characteristics and enriched interaction networks within lists of experimentally identified genes and miRNAs.
1 - 2 of 2