What is miRNAMap
         We establish genomic maps for microRNA precursors and their mapping to targets in vertebrate genomes, namely miRNAMap. In this system we collect published miRNAs from the microRNA registry (Griffiths-Jones S. et al, 2004) and predict putative miRNA precursors by RNAz which is based on genome-wide mapping of conserved RNA secondary structures from UCSC clustering (Washietl 2005). We also predict the mature miRNAs by an algorithm which is based on MDD (maximal dependence decomposition), all of the putative and known mature miRNAs have been detected their targets by miRanda (Enright et al, 2003) and RNAhybrid (Rehmsmeier et al,2004) results.

Here is data generation flow of miRNAMap!!

      Except the microRNA registry, miRNAMap also combines several utility databases or biological data sets, includes Ensembl, Gene Ontology and UCSC Genome Browser. Those datas provide varied information for miRNAs/targets annotations. Those information will support biologists to have diversity study.

   
 
  Applications  
           
 

      There are three powerful/advantaged characters in miRNAMap:

1. miRNAMap is provided to facilitate the access for miRNAs and their targets, in this web application, users can check essential information of miRNAs and their targets,
miRNAMap even record the location of miRNA precursors in exon, intron or UTR. Some gene expressions maybe play different roles of translated proteins or miRNAs.

How to find miRNAs and their targets in organism is a hot topic now!

2. Users not only can search miRNAs/targets information by species, but also can acquire them by certain gene groups, some miRNAs are engaged in certain gene groups, miRNAMap combines with the Gene Ontology to classify the miRNAs or their targets with facility by gene groups.

3. Users can obtain related miRNAs/targets information by insteresting cytobands in chromosomes , in cancer research, more and more important to regard the frequent deletions in certain regions of chromosomes and down-regulation of microRNA genes, the LOH (loss of heterozygosity ) datas have usually been used. Users can search interested cytobands recorded in LOH and check if the miRNAs are engaged in tumor formation.


   
BIDLAB.
National Chiao Tung University, NCTU.