Matthew Doherty

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We present Conrad, the first comparative gene predictor based on semi-Markov conditional random fields (SMCRFs). Unlike the best standalone gene predictors, which are based on generalized hidden Markov models (GHMMs) and trained by maximum likelihood, Conrad is discriminatively trained to maximize annotation accuracy. In addition, unlike the best annotation(More)
The majority of the genomic sequence of a porcine enterovirus serotype 1 (PEV-1) isolate was determined. The genome was found to contain a large open reading frame which encoded a leader protein prior to the capsid protein region. This showed no sequence identity to other picornavirus leader regions and the sequence data suggested that it does not possess(More)
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