Getting poster data...
Ryo Sakai, Justin Ashworth, Jan Aerts (KU Leuven, Leuven, Belgium; iMinds Medical IT, Leuven, Belgium; Institute for Systems Biology, Seattle, USA;)Seagull is an interactive visualization tool designed for comparative analysis of multiple sequence alignments (MSAs). It includes three interactive visual representations to study sequence alignments, variation and co-variation of positions, and the structural information. The first representation is a sequence diversity diagram, designed to encode sequential conservation and to improve comparison of multiple sets of MSAs as an alternative to sequence logos. The second view is a visualization of both consensus and correlation values of each pair of positions in a circos-like layout to identify positional dependencies, which may suggest importance of the position for the protein structure, function and dynamics. The last view is Jmol, a Java molecule viewer, linked to aforementioned views to examine the physical proximity of selected positions in 3D by loading a protein data bank (PDB) file. Seagull supports data exploration analysis by bridging three different levels of information: sequence alignments, sequence statistics, and the structural information. The use case is demonstrated by MSAs of the adenylate kinase lid (AKL) domain from gram-negative and gram-positive bacteria.