DAVI: a tool for clustering and visualising protein domain architectures
Chadi, N. J.; Saighi, P.; Vieira, F. R. J.; Bernardes, J. S.
Show 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
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- diverse-seq: an application for alignment-free selecting and clustering biological sequences 92%
- dms-viz: Structure-informed visualizations for deep mutational scanning and other mutation-based datasets 92%
- RedOak: a reference-free and alignment-freestructure for indexing a collection of similargenomes 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.