In spite of the existence of several Grid middleware projects, developing and executing programs on the computational Grid remains a user intensive process. The goal of the Grid Application Development Software (GrADS) project is to make the Grid simpler to use despite the dynamically changing status of Grid resources. Protein and genome sequence alignment is a basic operation in bioinformatics, and it requires large datasets and tends to be highly compute intensive. In this paper, we present work done to grid-enable a biological sequence alignment package (FASTA) and to run it under the GrADS framework. We discuss the advantages of using GrADS framework for FASTA.
Parallelization of FASTA has been implemented in the Grid Application Development Software (GrADS) project REF .
Biological Sequence Alignment On The Computational Grid Using The Grads Framework
the Journal on Grid Computing
Computer Science