BACK TO CONTENTS   |    PDF   |    PREVIOUS   |    NEXT

Title

 

 

 

 

DoD2007: 1082 molecular biology databases

 

Authors

Padavala Ajay Babu1*, Juttada Udyama1, 2, Rajam Kiran Kumar1, 2, Radha Boddepalli1, Dhurjeti Sarva Mangala3 and Gollapalli Nageswara Rao4

 

Affiliation

1 ProGene Biosciences, Institute of Bioinformatics & Research Centre, 103, Bharat Towers, Dwaraka Nagar, Visakhapatnam – 530016; 2 Department of Human Genetics, College of Science & Technology, Andhra University, Visakhapatnam – 530003; 3 Department of Microbiology, Visakha Women’s PG College, Visakhapatnam – 530003; 4 Department of Inorganic & Analytical Chemistry, Andhra University, Visakhapatnam - 530003, India

 

Email

ajay_pgb@progenebio.in
Phone

+91-891-6671195; * Corresponding author

Article Type

Web Database

Date

received July 16, 2007; revised September 04, 2007; accepted October 05, 2007; published online October 12, 2007

 

Abstract

Molecular biology databases are an integral part of biological research. To date, many databases were established with varied options to access associated biological data. Depending on the data being annotated, some are architecturally similar while others are specialized. In order to provide a partial solution to data integration, we report Database of Databases (DoD2007), constructed using html and javascript. The database has a web-based user interface with simple global search, specific database search, keyword help as well as links to abstracts, full-text and database home pages. Majority of data were derived form Nucleic Acids Research database issue and other published resources. The current release includes 15 categories with updated descriptions and links to 1082 databases, of which, 209 are new entries. New databases included in this issue are represented with ‘+’ sign before the name and a ‘*’ symbol provided for those that remained silent. The database is freely available at http://www.progenebio.in/DoD/index.htm.

 

Keywords

 

molecular biology; database; javascript; data integration

Citation

Babu et al., Bioinformation 2(2): 64-67 (2007)

Edited by

D. R. Flower

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.