Ontology highlight
ABSTRACT:
SUBMITTER: Schuster-Bockler B
PROVIDER: S-EPMC341448 | biostudies-literature | 2004 Jan
REPOSITORIES: biostudies-literature
Schuster-Böckler Benjamin B Schultz Jörg J Rahmann Sven S
BMC bioinformatics 20040121
<h4>Background</h4>Profile Hidden Markov Models (pHMMs) are a widely used tool for protein family research. Up to now, however, there exists no method to visualize all of their central aspects graphically in an intuitively understandable way.<h4>Results</h4>We present a visualization method that incorporates both emission and transition probabilities of the pHMM, thus extending sequence logos introduced by Schneider and Stephens. For each emitting state of the pHMM, we display a stack of letters ...[more]