BACK TO CONTENTS   |    PDF   |    PREVIOUS   |    NEXT

Title

A web accessible resource for investigating cassava phenomics and genomics information: BIOGEN BASE

 

Authors

Murukarthick Jayakodi1, Sreedevi Ghokhilamani selvan1, Senthil Natesan1*, Raveendran Muthurajan1, Raghu Duraisamy1, Jana Jeevan Ramineni1, Sakthi Ambothi Rathinasamy1, Nageswari Karuppusamy2, Pugalenthi Lakshmanan3, Mohan Chokkappan4

 

Affiliation

1Genomics and Proteomics Laboratory, Department of Plant Molecular Biology and Biotechnology, Centre for Plant Molecular Biology, Tamil Nadu Agricultural University, Coimbatore - 641 003; 2Tapioca and Castor Research Station, Yethapur, Tamil Nadu Agricultural University, Coimbatore - 641 003; 3Horticultural College and Research Institute, Tamil Nadu Agricultural University, Coimbatore – 641 003; 4Central Tuber Crops Research Institute, Trivandrum, India

 

Email

senthil_natesan@tnau.ac.in; *Corresponding author

 

Article Type

Database

 

Date

Received June 17, 2011; Accepted June 21, 2011; Published August 02, 2011

 

Abstract

The goal of our research is to establish a unique portal to bring out the potential outcome of the research in the Casssava crop. The Biogen base for cassava clearly brings out the variations of different traits of the germplasms, maintained at the Tapioca and Castor Research Station, Tamil Nadu Agricultural University. Phenotypic and genotypic variations of the accessions are clearly depicted, for the users to browse and interpret the variations using the microsatellite markers. Database (BIOGEN BASE - CASSAVA) is designed using PHP and MySQL and is equipped with extensive search options. It is more user-friendly and made publicly available, to improve the research and development of cassava by making a wealth of genetics and genomics data available through open, common, and worldwide forum for all individuals interested in the field.

 

Availability

http://www.tnaugenomics.com/biogenbase/casava.php.

 

Keywords

TNAU Genomics, cassava database, MySQL, PHP, and Bioinformatics.

 

Citation

Murukarthick et al. Bioinformation 6(10): 391-392 (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.