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The computation-intensive hidden Markov model (HMM) technology of the mid-1980s improved the ability to recognize word relationships and ultimately led to the development of powerful speech-recognition applications. Computationally intensive bioinformatics algorithms -- including BLAST, Smith-Waterman, Framesearch and Hidden Markov Model analysis -- are critical for genomic research and drug target identification. Rick MacDonald, TimeLogic President, remarked, "DeCypher speeds the core algorithms needed by DIAS -- BLAST, Smith-Waterman, and Hidden Markov Model analysis -- with the performance of hundreds to thousands of CPUs. |
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