UCSC Genome Bioinformatics
Genome Browser
Table Browser
Gene Sorter
In Silico PCR
Genome Graphs
Release Log
Custom Tracks
Cancer Browser
Microbial Genomes
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  About the UCSC Genome Bioinformatics Site

Welcome to the UCSC Genome Browser website. This site contains the reference sequence and working draft assemblies for a large collection of genomes. It also provides portals to ENCODE data at UCSC (2003 to 2012) and to the Neandertal project. You may download or purchase the Genome Browser source code, or the Genome Browser in a Box (GBiB) at our online store.

We encourage you to explore these sequences with our tools. The Genome Browser zooms and scrolls over chromosomes, showing the work of annotators worldwide. The Gene Sorter shows expression, homology and other information on groups of genes that can be related in many ways. Blat quickly maps your sequence to the genome. The Table Browser provides convenient access to the underlying database. VisiGene lets you browse through a large collection of in situ mouse and frog images to examine expression patterns. Genome Graphs allows you to upload and display genome-wide data sets.

The UCSC Genome Browser is developed and maintained by the Genome Bioinformatics Group, a cross-departmental team within the UC Santa Cruz Genomics Institute at the University of California Santa Cruz (UCSC). If you have feedback or questions concerning the tools or data on this website, feel free to contact us on our public mailing list. The Genome Browser is for research use only. Not intended for clinical use.

The Genome Browser project team relies on public funding to support our work. Donations are welcome -- we have many more ideas than our funding supports! If you have ideas, drop a comment in our suggestion box. Give to the UCSC Genome Browser

  NewsFollow @GenomeBrowser on Twitter Genome Browser Facebook page

To receive announcements of new genome assembly releases, new software features, updates and training seminars by email, subscribe to the genome-announce mailing list. Please see our blog for posts about Genome Browser tools, features, projects and more.

22 Apr 2016 - Data from the Lens PatSeq Database Now Available

We are pleased to announce the release of a set of tracks containing data from the Lens PatSeq database in the UCSC Genome Browser. These tracks contain data from the PatSeq database mapped to the genome and then colored based on where the sequence appears in the patent document. Details pages contain the patent titles with links to the patents in the Lens database. The data from PatSeq is divided into two tracks, one includes those sequences that were submitted in bulk patents containing 100 or more sequences and the other containing all other sequences. These tracks are currently present on the human (hg19), mouse (mm10), and Ebola virus (eboVir3) genomes.

Thanks to our collaborators at the Lens, Osmat Jefferson and Deniz Koellhofer, for providing the data and feedback on the visualization. Thank you to Max Haeussler and Matthew Speir, members of the UCSC Genome Browser team, for their efforts in creating these tracks.

20 April 2016 - New GTEx Gene Expression Track for hg19 and hg38

We are excited to announce the release of a new gene expression track based on data from the NIH Genotype-Tissue Expression (GTEx) project. This track displays tissue-specific gene expression based on RNA-seq in 53 tissues from 570 donors obtained from the GTEx 'midpoint' data release (V6, October 2015). The original data for this track can be found at the GTEX Portal hosted by the Broad Institute.

This track also features a new gene expression display method that extends the traditional Genome Browser display — a horizontal bar graph. Every gene is annotated by a graph with colored bars, each of which corresponds to a specific tissue assayed by the GTEx project. Within a graph, the bar color indicates the tissue type, using GTEx conventions, and the bar height depicts the median expression level (in RPKM). To quickly view the tissue and expression level represented by a bar in the tracks display, mouse over the bar in the graph. The complete tissue color legend is shown on the track configuration page, and can also be popped up for viewing alongside the track. Below the bar graph, a line is shown indicating the gene extent that was used to generate the annotation, colored by gene class using GENCODE conventions (e.g. blue for protein-coding, green for non-coding).

User alert: In the figure above, do you notice how the bar graph sometimes extends past the righthand end of the associated gene annotation? This is because all bar graphs in the display are the same width (and have the same tissue ordering) to facilitate comparison. For example, in this figure (which may also be viewed here), the three tall bars in the TCAP annotation indicate this entire gene is highly expressed in cardiac and skeletal muscle. It does not indicate that there are expression peaks in the intergenic region beyond the gene!

Similar to other Genome Browser track displays, clicking on the graph will bring up a description page that shows a detailed box and whiskers plot of the RPKM data, as well as a description of the methods used to generate the data.

Credit goes to Kate Rosenbloom and Christopher Lee for the implementation and testing of this feature.

15 April 2016 - dbSNP 146 Available for hg19 and hg38: We are pleased to announce the release of four tracks derived from NCBI dbSNP Build 146 data. Read more.

15 April 2016 - Genome Browsers for Gorilla, Rhesus, and Crab-Eating Macacque Now Available. Read more.

  Conditions of Use

The Genome Browser software, sequence and annotation data are freely available for use with these conditions. A license is required for commercial use of the software. For assistance with questions or problems regarding the UCSC Genome Browser software, database, genome assemblies, or release cycles, click here.

Program-driven use of this software is limited to a maximum of one hit every 15 seconds and no more than 5,000 hits per day.

The UCSC Genome Browser was created by the Genome Bioinformatics Group of UC Santa Cruz. Software Copyright (c) The Regents of the University of California. All rights reserved.