Title

Authors

Affiliation

Centre for Bioinformatics, School of Life Sciences, Pondicherry University, R.V. Nagar, Kalapet, Puducherry - 605014.

Email

amouda@yahoo.com; *Corresponding author

Article Type

Database

Date

Received February 22, 2012; Accepted March 03, 2012; Published March 17, 2012

Introns (intra-genic) are non-coding regions of several eukaryotic genes. However, their role in regulation of transcription, embryonic development, stimulate gene (HEG) is apparent in recent years. Thus current research focuses on mutation in introns and their influence in causing various diseases. Though many available intron databases like YIDB, IDB, ExInt, GISSD, FUGOID, etc. discusses on various aspects of introns but none of them have classified the introns where identification of start intron is found to be important which mainly regulates the various activities of protein at gene level. This lead to an idea for development of “Intdb”; a database meant for classifying introns as start, middle and stop on the basis of position of specific consensus site. Information provided in IntDb is useful for gene prediction, determination of splicing sites and identification of diseases. In addition, the main focus is on violation of consensus rule and frequency of other deviations observed in classified introns. Further, GC content, length variations according to the biased residues and occurrence of consensus pattern to discover potential role of introns is also emphasized in IntDb.

Availability

http://introndb.bicpu.edu.in/

Keywords

Consensus pattern, Consensus rule violation, Length variation,Splicing sites

Citation

Mohanty et al. Bioinformation 8(5):233-236 (2012)
 

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.