Specilized hidden markov model databases for microbial genomics

3Citations
Citations of this article
13Readers
Mendeley users who have this article in their library.

Abstract

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.

Cite

CITATION STYLE

APA

Gollery, M. (2003, April). Specilized hidden markov model databases for microbial genomics. Comparative and Functional Genomics. https://doi.org/10.1002/cfg.280

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free