This paper presents an algorithm for inferring a Structured Hidden Markov Model (S-HMM) from a set of sequences. The S-HMMs are a sub-class of the Hierarchical Hidden Markov Model...
Abstract--Sequence similarity search is a common and repeated task in molecular biology. The rapid growth of genomic databases leads to the need of speeding up the treatment of thi...
Exploring gene regulatory network is a key topic in molecular biology. In this paper, we present a new dynamic Bayesian network (DBN) framework embedded with structural expectatio...
Computation of multiple sequence alignments is one of the major open problems in computational molecular biology. The purpose of this study was to provide a new method, PAC (Progre...
Matching life science ontologies to determine ontology mappings has recently become an active field of research. The large size of existing ontologies and the application of comple...
Anika Gross, Michael Hartung, Toralf Kirsten, Erha...