| URL: | http://www.mirnalyze.in/ |
| Full name: | miRnalyze- Analyzing microRNA-pathway relationships |
| Description: | miRnalyze is an online web based tool that has been developed to analysed the putative regulation of cell signaling pathways by microRNAs. Genes and pathways data have been adapted from Kyoto Encyclopedia of Genes and Genomes (KEGG) database . MicroRNA target prediction data are retrieved from TargetScanHuman 7.1 target prediction tool. miRnalyze predicts putative miRNA targets in cellular signaling pathways directly through identifying involved genes in those pathways. Additionally, it provides users with the ability to identify common miRNAs that have more than one target in the signal transduction pathways – a feature that is unique to miRnalyze. Further, the tool allows users to sort the enlisted miRNAs based on their type of seed matches and the TargetScan Context++ score. The results thereby displayed in a hierarchy of manner allowing user to identify most relevant miRNAs on top of the lists. The above mentioned features have the potentiality to help researchers to choose for the most favorable miRNAs for expression profiling experiments. |
| Year founded: | 2017 |
| Last update: | 2017-03-18 |
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| Accessibility: |
Accessible
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| Country/Region: | India |
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| University/Institution: | Indian Institute of Technology Kharagpur |
| Address: | School of Medical Science and Technology |
| City: | Kharagpur |
| Province/State: | West Bengal |
| Country/Region: | India |
| Contact name (PI/Team): | Nishant Chakravorty |
| Contact email (PI/Helpdesk): | nishant@smst.iitkgp.ac.in |
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miRnalyze: an interactive database linking tool to unlock intuitive microRNA regulation of cell signaling pathways. [PMID: 28365733]
The various pathophysiological processes occurring in living systems are known to be orchestrated by delicate interplays and cross-talks between different genes and their regulators. Among the various regulators of genes, there is a class of small non-coding RNA molecules known as microRNAs. Although, the relative simplicity of miRNAs and their ability to modulate cellular processes make them attractive therapeutic candidates, their presence in large numbers make it challenging for experimental researchers to interpret the intricacies of the molecular processes they regulate. Most of the existing bioinformatic tools fail to address these challenges. Here, we present a new web resource 'miRnalyze' that has been specifically designed to directly identify the putative regulation of cell signaling pathways by miRNAs. The tool integrates miRNA-target predictions with signaling cascade members by utilizing TargetScanHuman 7.1 miRNA-target prediction tool and the KEGG pathway database, and thus provides researchers with in-depth insights into modulation of signal transduction pathways by miRNAs. miRnalyze is capable of identifying common miRNAs targeting more than one gene in the same signaling pathway-a feature that further increases the probability of modulating the pathway and downstream reactions when using miRNA modulators. Additionally, miRnalyze can sort miRNAs according to the seed-match types and TargetScan Context?++?score, thus providing a hierarchical list of most valuable miRNAs. Furthermore, in order to provide users with comprehensive information regarding miRNAs, genes and pathways, miRnalyze also links to expression data of miRNAs (miRmine) and genes (TiGER) and proteome abundance (PaxDb) data. To validate the capability of the tool, we have documented the correlation of miRnalyze's prediction with experimental confirmation studies. http://www.mirnalyze.in. |