Genomics Inform Search

CLOSE


Genomics Inform > Volume 9(1); 2011 > Article
DOI: https://doi.org/10.5808/gi.2011.9.1.039   
MiRPI: Portable Software to Identify Conserved miRNAs, Targets and to Calculate Precursor Statistics.
Dhandapani Vignesh, Paul Parameswari, Su Bin Im, Hae Jin Kim, Yong Pyo Lim
1Molecular Genetics and Genomics Laboratory, College of Agriculture and Life sciences, Chungnam National University, Daejeon 305-764, Korea. yplim@cnu.ac.kr
2Ensoltek Co., LTD, Daejeon 305-510, Korea.
Abstract
MicroRNAs (miRNAs) are recently discovered small RNA molecules usually resulting in translational repression and gene silencing. Despite the fact that specific cloning of small RNA's is a method in practice, computational identification of miRNA's has been a major focus recent days, since is a rapid process following AB initio and sequence alignment methods. Here we developed new software called MiRPI that aims to identify the highly conserved miRNAs without any mismatches from given fasta formatted gene sequences by using non-repeated miRNA dataset of the user's interest. The new window embedded with the software is used to identify the targets for inputted mature miRNAs in the mRNA sequences. Also MiRPI is designed to measure the precursor miRNA statistics, majorly focusing the Adjusted Minimum Folding free Energy (AMFE) and Minimum Folding free Energy Index (MFEI), the most important parameters in miRNA confirmation. MiRPI is developed by PERL (Practical Extraction and Report Language) and Tk (Tool kit widgets) scripting languages. It is user friendly, portable offline software that works in all windows OS, sized to 3 MB.
Keywords: miRNA; portable software; MiRPI; miRNA targets
TOOLS
Share :
Facebook Twitter Linked In Google+
METRICS Graph View
  • 0 Crossref
  •    
  • 1,463 View
  • 27 Download
Related articles in GNI


ABOUT
ARTICLE CATEGORY

Browse all articles >

BROWSE ARTICLES
FOR CONTRIBUTORS
Editorial Office
Room No. 806, 193 Mallijae-ro, Jung-gu, Seoul 04501, Korea
Tel: +82-2-558-9394    Fax: +82-2-558-9434    E-mail: kogo3@kogo.or.kr                

Copyright © 2022 by Korea Genome Organization.

Developed in M2PI

Close layer
prev next