Bioinformatics for legume genomics research

Abstract

Enormous legume genome sequence data are becoming available at a rapid rate through the Next-Gen Sequencing platforms. One of the biggest problems relates to management and analysis of the huge data derived from whole genome sequencing projects. To resolve this problem, researchers index their data in major biological depository systems and availability of algorithms, tools, softwares and databases and provide opportunities for analysis, annotation, and visualization of sequence data at the computational level. Different types of tools and softwares are available for the interpretation of genomes, proteomes and genes. Now researchers are using various in-silico techniques in Bio-omics (genomics, proteomics, metabolomics and transcriptomics) era for management, planning and prediction of data in cost effective and less time consuming manner. Bio-omics plays an important role in comparative, structural and functional biology at computational level and will play major role in different biological investigations. Identification of signal transduction pathway-associated members and gene family members will help in functional elucidation and relationship among them. In this context identification of potential candidate genes will provide an opportunity to researchers for improvement and nutritional quality enhancement of crop genomes. Based on genome blue-prints (plants, animals, fungus, microbes) one can develop potential applications to understand systems biology of legumes in fullness.