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Fish Karyome: A karyological information network database of Indian Fishes



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



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


Email; *Corresponding author


Article Type



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



‘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.





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



Nagpure et al. Bioinformation 8(9): 440-444(2012)

Edited by

P Kangueane






Biomedical Informatics



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.