AJAX Interface: A Breakthrough in Bioinformatics Web Applications

Bioinformatics applications are generally multi-server dependants and will have to communicate several information repositories to carry out any analyses. These applications remain computationally intensive and time consum- ing as they engage lots of data transfer. Hence they face a major bottleneck when ported as web applications. Browser based web applications normally feature the classical request-response approach. If the response becomes late, as it is expected to happen in the case of long running Bioinformatics programs, Apache will get tired and a request timeout error might occur. Alternate approaches like "Client-Pull" models that involve polling strategy with the unpredictable amount of page refreshes, only tend to intensify the network traffi c. Hence a technology that is intelligent enough to support the varied exhaustive Bioinformatics processes becomes highly essential. In this review, we propose how AJAX can afford a laconic framework within the Bioinformatics applications to completely reduce the page refresh nuisance and provide a better user experience.