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Title

Fish Karyome: A karyological information network database of Indian Fishes

 

Authors

Naresh Sahebrao Nagpure, Ajey Kumar Pathak*, Rameshwar Pati, Shri Prakash Singh, Mahender Singh, Uttam Kumar Sarkar, Basdeo Kushwaha & Ravindra Kumar

 

Affiliation

National Bureau of Fish Genetic Resources, Canal Ring Road, Post - Dilkusha, Telibagh, Lucknow- 226002, U P India.

 

Email

pathakajey@rediffmail.com; *Corresponding author

 

Article Type

Database

Date

Received April 17, 2012; Accepted April 27, 2012; Published May 15, 2012

 

Abstract

‘Fish Karyome’, a database on karyological information of Indian fishes have been developed that serves as central source for karyotype data about Indian fishes compiled from the published literature. Fish Karyome has been intended to serve as a liaison tool for the researchers and contains karyological information about 171 out of 2438 finfish species reported in India and is publically available via World Wide Web. The database provides information on chromosome number, morphology, sex chromosomes, karyotype formula and cytogenetic markers etc. Additionally, it also provides the phenotypic information that includes species name, its classification, and locality of sample collection, common name, local name, sex, geographical distribution, and IUCN Red list status. Besides, fish and karyotype images, references for 171 finfish species have been included in the database. Fish Karyome has been developed using SQL Server 2008, a relational database management system, Microsoft's ASP.NET-2008 and Macromedia's FLASH Technology under Windows 7 operating environment. The system also enables users to input new information and images into the database, search and view the information and images of interest using various search options. Fish Karyome has wide range of applications in species characterization and identification, sex determination, chromosomal mapping, karyo-evolution and systematics of fishes.

 

Availabilty

http://www.nbfgr.res.in/fishkaryome/

 

Keywords

Karyological Information Network, Chromosome, Finfish Species, Internet-Database System, Karyotype

 

Citation

Nagpure et al. Bioinformation 8(9): 440-444(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.