A feedback guided interface for elastic computing

Computer Science plays an important role in today’s Genetics. New sequencing methods produce an enormous amount of data, pushing genetic laboratories to storage and computational limits. New approaches are needed to eliminate these shortcomings and provide possibilities to reproduce current solutions and algorithms in the area of Bioinformatics. In this paper a system is proposed which simplifies the access to computational resources and associated computational models of cluster architectures, assists end users in executing and monitoring developed algorithms via a web interface and provides an interface to add future developments or any kind of programs. We demonstrate on existing algorithms how an integretation can be done with little effort, making it especially useful for the evaluation and simplified usage of current algorithms.