BACK TO CONTENTS   |    PDF   |    PREVIOUS   |    NEXT

Title

RiDs db: Repeats in diseases database

 

Authors

Anurag Chaturvedi, Shrish Tiwari, Rachel A Jesudasan*

 

Affiliation

Centre for Cellular and Molecular Biology, Habsiguda, Hyderabad 500007, Andhra Pradesh, India

 

Email

rachel@ccmb.res.in; *Corresponding author

 

Phone

+91-4027192830

 

Fax

+91-40-27160311

 

Article Type

Database

 

Date

Received August 12, 2011; Accepted August 13, 2011; Published September 06, 2011

 

Abstract

The non-coding fraction of the human genome, which is approximately 98%, is mainly constituted by repeats. Transpositions, expansions and deletions of these repeat elements contribute to a number of diseases. None of the available databases consolidates information on both tandem and interspersed repeats with the flexibility of FASTA based homology search with reference to disease genes. Repeats in diseases database (RiDs db) is a web accessible relational database, which aids analysis of repeats associated with Mendelian disorders. It is a repository of disease genes, which can be searched by FASTA program or by limited- or free-text keywords. Unlike other databases, RiDs db contains the sequences of these genes with access to corresponding information on both interspersed and tandem repeats contained within them, on a unified platform. Comparative analysis of novel or patient sequences with the reference sequences in RiDs db using FASTA search will indicate change in structure of repeats, if any, with a particular disorder. This database also provides links to orthologs in model organisms such as zebrafish, mouse and Drosophila.

 

Keywords

Repeats, Biomedical Informatics, disease, database, homology.

 

Availability

http://115.111.90.196/ridsdb/index.php

 

Citation

Chaturvedi et al. Bioinformation 7(2): 96-97 (2011)
 

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.