Argonne National Laboratory

Interoperability of GADU in Using Heterogeneous Grid Resources for Bioinformatics Applications

TitleInteroperability of GADU in Using Heterogeneous Grid Resources for Bioinformatics Applications
Publication TypeJournal Article
Year of Publication2007
AuthorsSulakhe, D, Rodriguez, A, Wilde, M, Foster, IT, Maltsev, N
JournalIEEE Trans. Inf. Technol. Biomed.
Volume12
Issue2
Pagination241-246
Other NumbersANL/MCS-P1403-0307
AbstractDuring the past decade, the scientific community has witnessed the rapid accumulation of gene sequence data and data related to physiology and biochemistry of organisms. Bioinformatics tools used for efficient and computationally intensive analysis of genetic sequences require large-scale computational resources to accommodate the growing data. Grid computational resources such as the Open Science Grid and TeraGrid have proved useful for scientific discovery. GADU is a high-throughput computational system developed to automate the steps involved in accessing the Grid resources for running bioinformatics applications. This paper describes the requirements for building an automated scalable system such as GADU that can run jobs on different Grids. The paper describes the resource-independent configuration of GADU using the Pegasus-based Virtual Data System that makes high-throughput computational tools interoperable on heterogeneous Grid resources. The paper also highlights the features implemented to make GADU a gateway to computationally intensive bioinformatics applications on the Grid. The paper will not go into the details of problems involved or the lessons learned in using individual Grid resources as it has already been published in our paper on GNARE and will focus primarily on the architecture that makes GADU resource independent and interoperable across heterogeneous Grid resources.
PDFhttp://www.mcs.anl.gov/papers/P1403.pdf