Database Allocation Strategies for Parallel BLAST Evaluation on Clusters
Distributed and Parallel Databases
PaCT '999 Proceedings of the 5th International Conference on Parallel Computing Technologies
Efficient Data Access for Parallel BLAST
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Papers - Volume 01
Parallel Computing for Bioinformatics and Computational Biology (Wiley Series on Parallel and Distributed Computing)
Parallel genomic sequence-search on a massively parallel system
Proceedings of the 4th international conference on Computing frontiers
Massively parallel genomic sequence search on the Blue Gene/P architecture
Proceedings of the 2008 ACM/IEEE conference on Supercomputing
SEPADS'10 Proceedings of the 9th WSEAS international conference on Software engineering, parallel and distributed systems
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Bioinformatics is a scientific area requiring powerful computing resources for exploring large sets of biological data. Sequence alignment is an important method in DNA and protein analysis. BLAST has become the most popular tool and implements a fast heuristic method for sequence alignment and searching. The goal of this paper is to estimate the scalability of parallel sequence alignment on the supercomputer BlueGene/P for the case study of investigating the interaction between influenza virus A and the host genome. Parallel performance evaluation of sequence alignment have been performed experimentally on the basis of parallel mpiBlast program implementation and conducted on a local mirror database comprising the available isolates of the influenza virus A and the human genome. The molecular biology outcome of the experiments is that the similarity of influenza virus A and human genome have been determined.