DNA

UCSC Genome Browser – interactively visualize genomic data

The UCSC Genome Browser is an on-line, and downloadable, genome browser.

This is an interactive website offering access to genome sequence data from a variety of vertebrate and invertebrate species and major model organisms, integrated with a large collection of aligned annotations.

The Browser is a graphical viewer optimized to support fast interactive performance and is an open-source, web-based tool suite built on top of a MySQL database for rapid visualization, examination, and querying of the data at many levels.

Key Features

  • Wide collection of annotation datasets (known as “tracks” and presented graphically), including mRNA alignments, mappings of DNA repeat elements, gene predictions, gene-expression data, disease-association data (representing the relationships of genes to diseases), and mappings of commercially available gene chips (e.g. Illumina and Agilent).
  • Instant access to the alignments of any RNA to any of the hosted species
  • Continuously variable nature of the display. Sequence of any size can be displayed, from a single DNA base up to the entire chromosome (human chr1 = 245 million bases, Mb) with full annotation tracks.
  • Highly configurable.

Website: genome.ucsc.edu
Support: Blog
Developer: UC Santa Cruz
License: UCSC Browser code base is open-source for non-commercial use. A license is required for commercial use.

UCSC Genome Browser


Related Software

Web-Based Desktop Genome Browsers
EnsemblResource for geneticists, molecular biologists and other researchers
Genome BrowserInteractively visualize genomic data
GDVExploration and analysis of eukaryotic RefSeq genome assemblies
HiGlassExplore and compare genomic contact matrices and tracks
igv.jsEmbeddable genomic visualization
NGBWeb-based NGS data viewer
JBrowse 2Modern React-based genome browser
trackplotVisualize various next-generation sequencing data
GIVEGenomic Interactive Visualization Engine
GenoverseHTML5 scrollable genome browser
Epigenome BrowserVisualization, integration and analysis tools for epigenomic datasets

Read our verdict in the software roundup.


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