Parallel CLUSTAL W for PC clusters. This paper presents a parallel version of CLUSTAL W, called pCLUSTAL. In contrast to the commercial SGI parallel Clustal, which requires an expensive shared memory SGI multiprocessor, pCLUSTAL can be run on a range of distributed and shared memory parallel machines, from high-end parallel multiprocessors (e.g. Sunfire 6800, IBM SP2, etc.) to PC clusters, to simple networks of workstations. We have implemented pCLUSTAL using C and the MPI communication library, and tested it on a PC cluster. Our experimental evaluation shows that our pCLUSTAL code achieves similar or better speedup on a distributed memory PC clusters than the commercial SGI parallel Clustal on a shared memory SGI multiprocessor.

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References in zbMATH (referenced in 3 articles )

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  1. Erciyes, K.: Distributed and sequential algorithms for bioinformatics (2015)
  2. Kryukov, Kirill; Saitou, Naruya: MISHIMA - a new method for high speed multiple alignment of nucleotide sequences of bacterial genome scale data (2010) ioport
  3. Cheetham, James; Dehne, Frank; Pitre, Sylvain; Rau-Chaplin, Andrew; Taillon, Peter J.: Parallel CLUSTAL W for PC clusters (2003) ioport