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Title

 

 

 

 

Mi-DISCOVERER: A Bioinformatics Tool Detection of mi-RNA in Human Genome

Authors

Saadia Arshad, Asia Mumtaz, Muhammad Afzal*, Freed Ahmad, Sadia Liaquat, Shahid Nadeem, Shahid Mehboob

Affiliation

Department of Bioinformatics, Government College University, Faisalabad, Pakistan 

Email

afzalarsenal@yahoo.com

Article Type

Software

 

Date

Received July 26, 2010; Accepted August 26, 2010; Published November 27, 2010
 

Abstract

MicroRNAs (miRNAs) are 22 nucleotides non-coding RNAs that play pivotal regulatory roles in diverse organisms including the humans and are difficult to be identified due to lack of either sequence features or robust algorithms to efficiently identify. Therefore, we made a tool that is Mi-Discoverer for the detection of miRNAs in human genome. The tools used for the development of software are Microsoft Office Access 2003, the JDK version 1.6.0, BioJava version 1.0, and the NetBeans IDE version 6.0. All already made miRNAs softwares were web based; so the advantage of our project was to make a desktop facility to the user for sequence alignment search with already identified miRNAs of human genome present in the database. The user can also insert and update the newly discovered human miRNA in the database. Mi-Discoverer, a bioinformatics tool successfully identifies human miRNAs based on multiple sequence alignment searches. Itís a non redundant database containing a large collection of publicly available human miRNAs. 

Keywords

 

miRNA prediction, Human miRNA detection, miRNA detection tool and database.

Citation

Afzal et al. Bioinformation, 5(6): 271-276, 2010

Edited by

P. Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.