Title :
Parallel Large Scale Inference of Protein Domain Families
Author :
Kahn, Daniel ; Rezvoy, Clément ; Vivien, Frédéric
Author_Institution :
INRIA, Villeurbanne, France
Abstract :
The resolution of combinatorial assortments of protein sequences into domains is a prerequisite for protein sequence interpretation. However the recognition and clustering of homologous domains from sequence databases typically scales quadratically with respect to their size which grows exponentially, making it essential to parallelize these complex bioinformatics applications. Here we demonstrate the parallelization of MKDOM2, the sequential program that has been instrumental in the construction of the PRODOM database of protein domain families. This was challenging because of (1) dependencies between program iterations, (2) their extremely heterogeneous run times and (3) communication bottlenecks that could arise because of the large size of the data. A large scale test of the new program, MPI_MKDOM2, demonstrated its robustness against heterogeneous run times, preparing the grounds for future releases of PRODOM that would otherwise be out of reach with MKDOM2 by several orders of magnitude.
Keywords :
bioinformatics; grid computing; message passing; parallel programming; proteins; MKDOM2; MPI_MKDOM2; PRODOM database; complex bioinformatics applications; grid computing; message passing; parallel large scale inference; protein domain families; protein sequence interpretation; sequence databases; Bioinformatics; Databases; Genomics; Instruments; Iterative algorithms; Large-scale systems; Protein engineering; Protein sequence; Robustness; Testing; Bioinformatics; Grid Computing; Message passing; Protein Domains; Sequence clustering;
Conference_Titel :
Parallel and Distributed Systems, 2008. ICPADS '08. 14th IEEE International Conference on
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-0-7695-3434-3
DOI :
10.1109/ICPADS.2008.115