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PEMDAM / Predictive EF-miRNA-Disease Association Model
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.
SmiRN-AD / Small molecule and miRNA association Network in Alzheimer's Disease
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.
OMCD / OncoMir Cancer Database
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 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.

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