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This paper presents a low communication-overhead parallel algorithm for pattern identification in biological sequences. Given a biological sequence of length n ...
This paper presents a low communication-overhead parallel algorithm for pattern matching in biological sequences. Given such a sequence of length n and a.
This paper presents a low communication-overhead parallel algorithm for pattern identification in biological sequences. Given a biological sequence of length n ...
This paper presents a low communication-overhead parallel algorithm for pattern matching in biological sequences. Given such a sequence of length n and a ...
Our research exploits the superior cost effectiveness and flexibility achieved through low-cost clusters to speed up biological compu- tations by designing ...
A system of cluster analysis for genome-wide expression data from DNA microarray hybridization is described that uses standard statistical algorithms.
Sequence patterns that are common and specific to each group ... Pattern detection algorithms will prove to be important tools for molecular biologists.
In bioinformatics, sequence clustering algorithms attempt to group biological sequences that are somehow related.
Our results on an eight-machine cluster presented very good speed-up and indicate that impressive improvements can be achieved depending on the strategy used.
Once ortholog identification has been performed, the next phase is trimming, alignment, and phylogenetic tree generation. The trimming of sequences is done ...