Title

Authors

Affiliation

¹Biomedical Informatics Center, National Institute of Cholera and Enteric Diseases, P-33, C.I.T Road, Scheme-XM, Beliaghata, Kolkata-700010, India; ²Department of Molecular Biology & Bioinformatics, Tripura University, Suryamaninagar- 799022, Tripura, India

Email

basaksurajit@gmail.com; *Corresponding author

Article Type

Database

Date

Received March 30, 2013; Accepted April 04, 2013; Published July 12, 2013

An organism’s survival strategy under the constantly changing environment depends on its ability to sense and respond to changes in its environment. Archaea, being capable to grow under various extreme environmental conditions, provide valuable model for exploring how single-celled organisms respond to environmental stresses. However, no such approach has ever been made to make an integrated classification of various archaeal stress responses. Archaeal Stress Response Database (ASRDb) is a web accessible (http://121.241.218.70/ASRDb) database that represents the first online available resource providing a comprehensive overview of stress response genes of 66 archaeal genomes. This database currently contains almost 6000 stress specific genes of 66 archaeal genomes. All the stress specific genes are grouped into 17 different stress categories. A user-friendly interface has been designed to examine data using query tools. This database provides an efficient search engine for random and advanced database search operations. We have incorporated BLAST search options to the resulting sequences retrieved from database search operations. A site map page representing the schematic diagram will enable user to understand the logic behind the construction of the database. We have also provided a very rich and informative help page to make user familiar with the database. We sincerely believe that ASRDb will be of particular interest to the life science community and facilitates the biologists to unravel the role of stress specific genes in the adaptation of microorganisms under various extreme environmental conditions.

Availability

http://121.241.218.70/ASRDb/home.aspx

Citation

Labala et al.  Bioinformation 9(12): 650-655 (2013)

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.