%0 Journal Article
%T Specialized Hidden Markov Model Databases for Microbial Genomics
%A Martin Gollery
%J Comparative and Functional Genomics
%D 2003
%I Hindawi Publishing Corporation
%R 10.1002/cfg.280
%X As hidden Markov models (HMMs) become increasingly more important in the analysis of biological sequences, so too have databases of HMMs expanded in size, number and importance. While the standard paradigm a short while ago was the analysis of one or a few sequences at a time, it has now become standard procedure to submit an entire microbial genome. In the future, it will be common to submit large groups of completed genomes to run simultaneously against a dozen public databases and any number of internally developed targets. This paper looks at some of the readily available HMM (or HMM-like) algorithms and several publicly available HMM databases, and outlines methods by which the reader may develop custom HMM targets.
%U http://www.hindawi.com/journals/cfg/2003/596484/abs/