Abstract. Maximum likelihood (ML) is an increasingly popular optimality criterion for selecting evolutionary trees [Felsenstein 1981]. Finding optimal ML trees appears to be a very...
Abstract. This paper presents a framework for the reuse and extension of existing, established vocabularies in the Semantic Web. Driven by the primary application of expert findin...
Boanerges Aleman-Meza, Uldis Bojars, Harold Boley,...
Finding recurring residue packing patterns, or spatial motifs, that characterize protein structural families is an important problem in bioinformatics. To this end, we apply a nov...
Jun Huan, Wei Wang 0010, Deepak Bandyopadhyay, Jac...
Background: DNA instability profiles have been used recently for predicting the transcriptional start site and the location of core promoters, and to gain insight into promoter ac...
Miriam R. Kantorovitz, Zoi Rapti, Vladimir Gelev, ...
The ‘theorise-inquire’ technique is described, which supports the testing of both experts’ hunches and the quality of data sources. This technique is useful for the identifi...