DAVI: a tool for clustering and visualising protein domain architectures
Paul SaighiiD, Chadi Jaouadi, Fabio Rocha Jimenez VieiraiD, Juliana BernardesiD
Abstract
The characterization of protein functions is one of the main challenges in bioinformatics. Proteins are often composed of individual units termed domains, motifs that can evolve independently. The domain architecture of a given protein is the particular order and the content of its numerous domains. Some computational approaches predict the most likely domain architecture for a set of proteins. However, a few numbers of visualization tools exist, and most of them are unavailable. Here we present DAVI, an efficient and user-friendly web server for protein domain architecture clustering and visualization. DAVI accepts the output of most used domain architecture prediction tools and also produces domain architectures for a set of protein sequences. It provides a rich visualization for comparing, analyzing, and visualizing domain architectures. Availabilityhttp://genome.lcqb.upmc.fr/Domain-Architecture-Viewer
02 /Specification & Classification
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