Learn to use the Galaxy resource from the Galaxy Teams at various institutions. Galaxy is an excellent online genome analysis tool that combines the power of existing genome annotation databases with a simple web portal with a variety of tools and algorithms, to enable users to search remote resources, combine data from independent queries, prepare, manipulate and analyze the data using a large suite of analysis tools. A history is created for every analysis providing a record ensuring reproducibility of results. Galaxy also presents the opportunity to create and share workflows of analysis.

You will learn:

  • to navigate the basics of the Galaxy interfaces
  • how to upload data from various databases and sources
  • how to prepare and manipulate your data for further analysis
  • how to use Galaxy to perform many different types of analyses on your data


This tutorial is a part of the tutorial group Advanced Analysis and Queries. You might find the other tutorials in the group interesting:

BioMart: Management and querying of many types of biological data

UniProt: UniProt, Universal Protein Resource

DBTSS: Database of Transcriptional Start Sites



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.


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Recent BioMed Central research articles citing this resource

Breitschwerdt B. Edward et al., Did Bartonella henselae contribute to the deaths of two veterinarians?. Parasites Vectors (2015) doi:10.1186/s13071-015-0920-4

Guiblet M Wilfried et al., SmileFinder: a resampling-based approach to evaluate signatures of selection from genome-wide sets of matching allele frequency data in two or more diploid populations. GigaScience (2015) doi:10.1186/2047-217X-4-1

Mills D James et al., High expression of long intervening non-coding RNA OLMALINC in the human cortical white matter is associated with regulation of oligodendrocyte maturation. Molecular Brain (2015) doi:10.1186/s13041-014-0091-9

Solomon A Lauren et al., Genome-wide comparison of PU.1 and Spi-B binding sites in a mouse B lymphoma cell line Human and rodent genomics. BMC Genomics (2015) doi:10.1186/s12864-015-1303-0

Kelly J Benjamin et al., Churchill: an ultra-fast, deterministic, highly scalable and balanced parallelization strategy for the discovery of human genetic variation in clinical and population-scale genomics. Genome Biology (2015) doi:10.1186/s13059-014-0577-x