title: Ceiba: scalable visualization of phylogenies and 2D/3D image collections.
abstract: Phylogenetic trees with hundreds of thousands of leaves are now being inferred from sequence data, posing significant challenges for visualization and exploratory analysis. Image data supplying valuable context for species in trees (and cues for exploring them) are becoming increasingly available in biodiversity databases and elsewhere but have rarely been built into tree visualization software in a scalable way. Ceiba lets the user explore large trees and inspect image collection arrays (sets of 'homologous' images) comprising mixtures of 2D and 3D image objects. Ceiba exploits recent improvements in graphics hardware, OpenGL toolkits and many standard high-performance computer graphics strategies, such as texture compression, level of detail control, culling, animations and image caching. Its tree layouts can be tuned by user-provided phylogenetic definitions of subtrees. The code has been extensively tested on phylogenies of up to 55,000 leaves and images.
  
  
  METHODS
  A manual, datasets, source code (distributed under GPL) and binaries for OS X are available at http://sourceforge.net/projects/ceiba.
  
  
  BACKGROUND
  Supplementary data are available at Bioinformatics online.
authors.affiliation: Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721, USA.
authors.forename: Michael J
authors.initials: MJ
authors.lastname: Sanderson
mesh_terms: D003196:Computer Graphics; D007091:Image Processing, Computer-Assisted; D021621:Imaging, Three-Dimensional; D010802:Phylogeny; D012984:Software; D014584:User-Computer Interface