Development of a Genome-phenome Browser for Rice Cultivars
Anubhav Roy *
Division of Bioinformatics, ICAR- Indian Agricultural Statistics Research Institute, New Delhi-110012, India.
Sudeep Marwaha
Division of Computer Application, ICAR- Indian Agricultural Statistics Research Institute, New Delhi-110012, India.
Dwijesh Chandra Mishra
Division of Bioinformatics, ICAR- Indian Agricultural Statistics Research Institute, New Delhi-110012, India.
Viswanathan Chinnusamy
Division of Plant Pathology, Indian Agricultural Research Institute, New Delhi-110012, India.
*Author to whom correspondence should be addressed.
Abstract
With the advent of modern sequencing techniques, the genome study of Rice has become more precise and effective. Modern bioinformatics tools have contributed a lot to the functional genomics of Rice. Worldwide researches are being carried out to understand the biology of rice better. Biological experimental information needs to be inferred more precisely so that further progress can be made. In this study, a comprehensive analysis is undertaken on functionally validated and characterized rice genes which are found to affect the phenotypes of rice. A database and browser have been developed with the help of information available across literatures which will be used to identify genes responsible for affecting morphological, physiological and resistance or tolerance traits. Such detailed analysis will also provide the annotation of genes that are functionally characterized. It will also help to understand how these genes affect the traits useful for Rice breeding.
Keywords: Database, functional genomics, genome browser, phenotype, rice (Oryza sativa)