论文信息 - Using genetic algorithms for the inference of motifs that are represented in only a subset of sequences of interest

Using genetic algorithms for the inference of motifs that are represented in only a subset of sequences of interest

In this work, we present GAMID, and extension of GAMI. GAMID is designed to be used for motif inference in noncoding DNA for co-expressed genes or for divergent species. In these cases, we would like to allow the inferred motif to be present in only a subset of the input data. This paper describes the approach and presents preliminary results.

Jeffrey A. Thompson | Clare Bates Congdon | Jeffrey A. Thompson | C. Congdon

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