ABSTRACT OF Professor Krogh's TALK


Hidden Markov models of proteins and DNA

September 4, 2002, 14:00-14:50

At the primary level of analysis both proteins and DNA are one dimensional sequences of symbols from a finite alphabet. Many secondary properties, such as gene structure, have a grammatical structure, and therefore methods from language modelling can often be applied to biological sequences. A hidden Markov model (HMM) is a probabilistic model developed primarily in speech recognition research, but it has recently proven very useful also for biological sequence analysis. In this talk I will describe two applications of HMMs: prediction of genes in genomic DNA and prediction of transmembrane helices in membrane proteins.