Learn to use the advanced features, including the Table Browser and custom tracks, of the UCSC Genome Browser with this free tutorial, sponsored by UCSC Genome Bioinformatics Group. The UCSC Genome Browser provides a way to query and extract the data from many genomes, with extensive annotation for various data types including known genes, predicted genes, SNPs, comparative multi-species analysis and much more. Obtain large lists of genes, SNPs, or any other features of interest, or display your own data, using the tools underlying the UCSC Genome Browser. This tutorial is the second in a series of tutorials on the UCSC Genome Browser and explores many aspects beyond the basic search and analysis functions covered in the introductory tutorial.

You will learn:

  • to perform advanced searches of the UCSC genome databases
  • to export and download large quantities of targeted data
  • to create custom tracks resulting from your advanced searches
  • to create custom annotation tracks of your data to share with others
  • to use the Genome Graphs tool for visualizing GWAS data


This tutorial is a part of the tutorial group UCSC Tutorials. You might find the other tutorials in the group interesting:

ENCODE Foundations: ENCyclopedia of DNA Elements

UCSC Genome Browser: The Additional Tools: Additional tools at the UCSC Genome Browser

UCSC Archaeal Genome Browser: Provides you with many research and analysis tools that can be used to examine the genomes of more than 50 microbial species from the domain archaea.


UCSC Genome Browser: An Introduction: The UCSC Genome Browser Introduction


Algorithms and Analysis : This category contains various tools that may help perform analysis of different genomics data types. This may include sequence alignment, large-scale or complex queries, motif finding, or comparative assessments.

Genome Databases (euk) : Genomic databases or repositories primarily aimed at eukaryotic organisms. Some may contain prokaryotic data as well.


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Recent BioMed Central research articles citing this resource

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Piraino W. Scott et al., Identification of coding and non-coding mutational hotspots in cancer genomes Human and rodent genomics. BMC Genomics (2017) doi:10.1186/s12864-016-3420-9

Mazzoccoli Gianluigi et al., Deregulated expression of cryptochrome genes in human colorectal cancer. Molecular Cancer (2016) doi:10.1186/s12943-016-0492-8