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 custo
We report the results of a study into the use of a linear interpolating hidden Markov model (HMM) fo...
Hidden Markov models (HMMs) are powerful statistical tools for biological sequence analysis. Many re...
Motivation : Hidden Markov Models (HMMs) are widely used for biological sequence analysis because of...
Hidden Markov Models (HMMs) became recently important and popular among bioinformatics researchers, ...
models in biological sequence analysis The vast increase of data in biology has meant that many aspe...
We introduce the theory of Hidden Markov Models, with a brief historical description, and we describ...
Hidden Markov models (HMMs) are well developed statistical models to capture hidden information from...
The article presents an application of hidden Markov models (HMMs) for pattern recognition on genome...
Hidden Markov models (HMMs) are a highly effective means of modeling a family of unaligned sequences...
The Hidden Markov Models (HMMs) are widely used for biological sequence analysis because of their ab...
Hidden Markov models (HMMs) have been extensively used in biological sequence analysis . HMMs and th...
I hereby declare that I am the sole author of this thesis. This is a true copy of the thesis, includ...
Hidden Markov Models (HMMs) are widely used for biological sequence analysis because of their abilit...
This tutorial was one of eight tutorials selected to be presented at the Third International Confere...
A Genetic Algorithm (GA) is proposed for finding the structure of Hidden Markov Models (HMMs) used f...
We report the results of a study into the use of a linear interpolating hidden Markov model (HMM) fo...
Hidden Markov models (HMMs) are powerful statistical tools for biological sequence analysis. Many re...
Motivation : Hidden Markov Models (HMMs) are widely used for biological sequence analysis because of...
Hidden Markov Models (HMMs) became recently important and popular among bioinformatics researchers, ...
models in biological sequence analysis The vast increase of data in biology has meant that many aspe...
We introduce the theory of Hidden Markov Models, with a brief historical description, and we describ...
Hidden Markov models (HMMs) are well developed statistical models to capture hidden information from...
The article presents an application of hidden Markov models (HMMs) for pattern recognition on genome...
Hidden Markov models (HMMs) are a highly effective means of modeling a family of unaligned sequences...
The Hidden Markov Models (HMMs) are widely used for biological sequence analysis because of their ab...
Hidden Markov models (HMMs) have been extensively used in biological sequence analysis . HMMs and th...
I hereby declare that I am the sole author of this thesis. This is a true copy of the thesis, includ...
Hidden Markov Models (HMMs) are widely used for biological sequence analysis because of their abilit...
This tutorial was one of eight tutorials selected to be presented at the Third International Confere...
A Genetic Algorithm (GA) is proposed for finding the structure of Hidden Markov Models (HMMs) used f...
We report the results of a study into the use of a linear interpolating hidden Markov model (HMM) fo...
Hidden Markov models (HMMs) are powerful statistical tools for biological sequence analysis. Many re...
Motivation : Hidden Markov Models (HMMs) are widely used for biological sequence analysis because of...