Journal of Biotechnology & Biomaterials
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Rice (Oryza sativa L.) is the staple food for almost 50% of the world?s population. Rice genome is fully sequenced but
sharing of genomic information with the world scientific community is one of the important hallenges. Many databases are
maintaining rice genomic information but Vanshanudhan is very different because of its queries based searches. Vanshanudhan
database (http://126.96.36.199:8080/genome/Login.jsp) facilitates search based on complete genome data including gene, cDNA
and protein sequence. Present Vanshanudhan data is based on rice pseudomolecule version 3.0 released from Michigan State
University with a unique gene nomenclature e.g. 01-0001, which defines chromosome number as well as gene number. We
have upgraded the complete genomic information from pseudomolecule version 3.0 to version 7.0 and integrated it with the
recently developed NRCPB rice marker information system which provides specific SSR and SNP marker information for each
rice chromosome. We simultaneously incorporated NRCPB trait information system with it which is broadly classified into six
different categories such as yield, quality, biotic stress, abiotic stress, plant architecture, biomass and further these are again
classified into sub category . These marker and trait information systems are fully integrated with each other and are able to
provide relevant query based information. The database platform is developed using MySQL in relational database management
system and JSP is used as a middle ware. The entire database is implemented on high performance computing server with UNIX
Sun solaris version 5.9 and easily accessed through links. This database aims to provide useful information for the researcher
community engaged in rice crop improvement programme.
Pawan Kumar Jayaswal is at present working as a research associate at the National Research Centre on Plant Biotechnology, New Delhi, India. He
has Master of Technology degree in Bioinformatics from SASTRA University, Tamilnadu, India in 2009. His research interest include next generation
sequence data analysis, database development and in silico drug designing.
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