Tools for Comparative Genomics

VISTA is a comprehensive suite of programs and databases for comparative analysis of genomic sequences. There are two ways of using VISTA - you can submit your own sequences and alignments for analysis (VISTA servers) or examine pre-computed whole-genome alignments of different species.

 

Submit Your Sequences

mVISTA

mVISTA tool thumbnail
  • mVISTA

    Align and compare your sequences from multiple species

  • rVISTA

    Locate regulatory sequences in your data using comparative sequence analysis and transcription factor binding site search.

  • GenomeVISTA

    Compare your sequences against whole-genome assemblies.

  • wgVISTA

    Align pair of sequences up to 10Mb long (finished or draft) including microbial whole-genome assemblies.

 

Precomputed Alignments

VISTA Browser

VISTA Browser tool thumbnail
  • VISTA Browser

    Examine pre-computed pairwise and multiple alignments of whole genome assemblies.

  • VISTAPoint

    Access complete data and visual presentation of pairwise and multiple alignments of whole genome assemblies.

  • Whole Genome rVISTA

    Identify transcription factor binding sites that are conserved between species and over-represented in upstream regions of groups of genes.

  • Microbial Genomes

    Access pre-computed full scaffold alignments for microbial genomes through the VISTA component of IMG.

 

Updates

October 2009
Added new tool VISTAPoint

Updated the design of the VISTA Portal

June 2009
99 Alignments of 34 genomes sequenced by JGI are added to VISTA Browser. Among these species are plants, fungi, algae, and others.

Added whole-genome alignments of the new TAIR9 Arabidopsis genome release.

Vista News Archive

 

 

Enhancer DB

Enhancer DB iconExperimentally validated human noncoding fragments with gene enhancer activity as assessed in transgenic mice. http://enhancer.lbl.gov/
 

JGI Genome Portal

Genome Portal iconFind VISTA alignments for a number of genomes sequenced in the Department of Energy Joint Genome Institute http://genome.jgi-psf.org/