Phylo-VISTA: interactive visualization of multiple DNA sequence alignments

Bioinformatics. 2004 Mar 22;20(5):636-43. doi: 10.1093/bioinformatics/btg459. Epub 2004 Jan 22.

Abstract

Motivation: The power of multi-sequence comparison for biological discovery is well established. The need for new capabilities to visualize and compare cross-species alignment data is intensified by the growing number of genomic sequence datasets being generated for an ever-increasing number of organisms. To be efficient these visualization algorithms must support the ability to accommodate consistently a wide range of evolutionary distances in a comparison framework based upon phylogenetic relationships.

Results: We have developed Phylo-VISTA, an interactive tool for analyzing multiple alignments by visualizing a similarity measure for multiple DNA sequences. The complexity of visual presentation is effectively organized using a framework based upon interspecies phylogenetic relationships. The phylogenetic organization supports rapid, user-guided interspecies comparison. To aid in navigation through large sequence datasets, Phylo-VISTA leverages concepts from VISTA that provide a user with the ability to select and view data at varying resolutions. The combination of multiresolution data visualization and analysis, combined with the phylogenetic framework for interspecies comparison, produces a highly flexible and powerful tool for visual data analysis of multiple sequence alignments.

Availability: Phylo-VISTA is available at http://www-gsd.lbl.gov/phylovista. It requires an Internet browser with Java Plug-in 1.4.2 and it is integrated into the global alignment program LAGAN at http://lagan.stanford.edu

Publication types

  • Comparative Study
  • Evaluation Study
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.
  • Research Support, U.S. Gov't, P.H.S.
  • Validation Study

MeSH terms

  • Algorithms*
  • Animals
  • Base Sequence
  • Computer Graphics*
  • Gene Expression Profiling / methods*
  • Humans
  • Leukemia / genetics
  • Molecular Sequence Data
  • Phylogeny
  • Sequence Alignment / methods*
  • Sequence Analysis, DNA / methods*
  • Sequence Homology, Nucleic Acid
  • Software*
  • User-Computer Interface*