Stephen V. Cole

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A tool that uses natural language processing techniques to extract causal relations from text and output useful Bayesian network fragments is described. Previous research indicates that a primarily syntactic approach to causal relation detection can yield good results. We used such an approach to identify subject-verb-object triples and then applied various(More)
An exponential increase in the speed of DNA sequencing over the past decade has driven demand for fast, space-efficient algorithms to process the resultant data. The first step in processing is alignment of many short DNA sequences, or reads, against a large reference sequence. This work presents WOODSTOCC, an implementation of short-read alignment designed(More)
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