Database Utility in Bioinformatics -an Effort Based Curtail Approach Using Multi Agents

Today, in the field of computational biology databases play a vital role due to tremendous incremental in biological datas. The main requirement behinds this is to maintain these biological datas that in turn directly or indirectly utilized by various tools and techniques. These datas plays a major role in accurately solving real time biological problems in the field of bioinformatics. Thus bioinformatics is a means of merging computational biology with few other sciences. In this discipline, there is a need for various discipline precise databases which are most frequently used. Various applications and tools utilize these discipline specific databases for providing various best data solutions. Mostly tools developed in this area involve accessing more than two databases that vary in size and structure. Providing a standard for accessing data’s from structural variation databases requires more effort in terms of time, cost and human resources. In this perspective a utility has been developed for reducing the effort for accessing various databases with structural variations. Agents are artificial intelligence capable of sensing the environment and react accordingly to the environment. Based on this aspect, multi agents have been involved in the utility for accessing various databases. In this paper along with the utility developed the novelty explained here is about dynamic accessing of various databases that could be utilized by any tools or applications that requires accessing of various databases. The utility is capable of using any numbers of databases with vary in structure to furnish accurate results which provided a way for reducing efforts that have been visualized based on the analysis made which have also been narrated here