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Galaxy 101   Screencasts   Shared Pages, Histories, & Workflows

Learn Galaxy

There are many approaches to learning how to use Galaxy. The most popular is probably to just dive in and use it. Galaxy is simple enough to use that you can do many analyses just by exploring the interface. However, you may miss much of the power this way.

Watch the short Learn video for a learning resource overview.

Galaxy 101

Walking through the Galaxy 101 exercise will show you the ins and outs of using Galaxy. This includes loading data (from UCSC in this example), using genome builds, the tool interface, filtering, sorting, and combining datasets, generating statistics, and Galaxy's History, Workflow and sharing support.

Galaxy 101 is available in several formats. You can start with either the Galaxy Page or the screencast.


There are a plethora of Screencast videos available that demonstrate many aspects of Galaxy from basic features to full-blown complex analysis to cloud and administrative guides. More at the Screencasts page.

Watch MOST videos also at Vimeo: http://vimeo.com/galaxyproject
Includes the latest tutorials plus talks from GCC 2013.

Shared Pages, Histories & Workflows

Another way to learn Galaxy is by learning from what others have done. Galaxy supports the sharing and publishing of several Galaxy Objects within Galaxy. See how it works in the Share or Publish video.

  • Pages - Pages are documentation within Galaxy that explain the steps and reasoning in a particular history or workflow. They provide additional context and can describe why particular choices were made. The list of published pages is a great place to start.

  • Histories - Histories are analyses in Galaxy that show all input, intermediate, and final datasets, as well as every step in the process and the settings used with each. History can be imported into your session and rerun as is or modified. See the Managing Histories video for an example.

  • Workflows - Workflows specify the steps in a process but not the datasets. Workflows are analyses that are meant to be run, each time with different user-provided datasets. Read more about Advanced Workflow variables and processes.

  • Data Libraries - Datasets that are accessible from within the Galaxy or for download. Libraries are designed for sharing datasets in between users or whole groups.

Other Tutorials

In addition to Screencasts and Shared Pages, Histories & Workflows above there are now several Galaxy-centric tutorials and "how to" papers that have been created by the community:



Posted / Presented

Web-based Analysis of Next Generation Sequence Data

Neerja Katiyar, Tyler Backman, Rebecca Sun, and Thomas Girke, UC Riverside


Intro to Using Galaxy for Bioinformatics

Includes a transcriptome assembly example.

Ganote, Carrie L.; Doak, Thomas


UC Davis 2013 Bioinformatics Short Course

Includes slides and exercises on almost everything.

Joe Fass <jnfass AT ucdavis DOT edu>, Nikhil Joshi <najoshi AT ucdavis DOT edu>, Jessie Li <jjsli AT ucdavis DOT edu>, Monica Britton <mtbritton AT ucdavis DOT edu>, Blythe Durbin-Johnson <bpdurbin AT phs DOT ucdavis DOT edu>


Informatics on High Throughput Sequencing Data

Module 5 - Bringing it all together: Galaxy

Francis Oullette


NGS in Galaxy

Includes ChIP-Seq, RNA-Seq and Exome-Seq examples.

Shannan Ho Sui, Oliver Hofmann, Winston Hide, Center for Health Bioinformatics at the Harvard School of Public Health


Introduction to Galaxy 2013 Bootcamp

Nikhil Joshi, Bioinformatics Core, UC Davis Genome Center


RNA-seq Analysis in Galaxy

BaRC, Whitehead Institute


Performing de novo assemblies using the NBIC Galaxy instance

 Jan van Haarst (WUR)


IIHG Bioinformatics Short Course

Downloadable PDFs cover Galaxy Intro and File formats, NGS Intro, Galaxy Basics, and Reproducibility and Collaboration within Galaxy

 Ann Black-Ziegelbein, Tom Bair, Srinivas Maddhi


NGS Analysis with Galaxy and IGV

Tyler Backman, Rebecca Sun and Thomas Girke, UC Riverside


Galaxy Tutorials

Including RNA-Seq, Variant Detection, and Genome Assembly

The Genomics Virtual Lab


Analysis of ChIP-seq data in Galaxy

BaRC, Whitehead Institute


Next Generation Sequencing Data Analysis (Course no 11)

"Massively parallel sequencing, also known as next generation sequencing, is a technology enabling high-throughput sequencing of genomes or loci of interest. This course focuses on a single locus. It examines the quality of the sequence reads; mapping of reads; and the quality of the mapping. It also examines sequence variation." (slides)

Lynn Young


Automated and reproducible analysis of NGS data (ARANGS12)

Day 4

Rutger Vos, Darin London


Galaxy, a web based platform for bioinformatics analysis

Bioinformatics & Research Computing @ MIT, as part of their Hot Topics series


Using Galaxy for NGS Analysis

Luce Skrabanek <las2017 AT med DOT cornell DOT edu>


RNA-Seq Course v1.0 documentation

UC Davis Bioinformatics Professional Training Program


RNA-Seq Data Analysis Workshop

Lance Parsons, Lewis-Sigler Institute for Integrative Genomics


SNP & Indel Detection Tutorial

Lance Parsons, Lewis-Sigler Institute for Integrative Genomics


ChIP-Seq Tutorial

Lance Parsons, Lewis-Sigler Institute for Integrative Genomics


Genomic Resequencing Variant Detection and Interpretation in a Diagnostic Context Hands on workshop: Next generation sequence data analysis

Hailiang (Leon) Mei, Jeroen Laros


Analyzing epigenome data in context of genome evolution and human diseases

Feuerbach, et al.


Using the UCSC Genome Browser and Galaxy to study regulatory sequence evolution in Drosophila

Bergman Lab


UAB Galaxy RNA Seq Step by Step Tutorial

Curtis Hendrickson


Visualization with Galaxy and IGV Tutorial

Lance Parsons, Lewis-Sigler Institute for Integrative Genomics


Analyzing Complete Genomics masterVar File through Galaxy

Complete Genomics



Galaxy for many users is all about Datasets, the inputs and outputs of analysis jobs. Learn how to load, label, format/reformat, QC, manipulate, visualize, detect problems in, save, share, hide, delete, perform simple-to-complex manipulations, generate standard and custom statistics, and track the methods that create datasets. Quick overviews of basic and advanced features are in the Datasets 1 and Datasets 2 (pending) videos.

Learning the basics of how to manage datasets helps focus analysis on the scientific aspects of a project, minimizing problems and troubleshooting. Simply put, save time and verify format first! It's quick to do and right in the existing history, so there's no programming required.


Extensive help on how to use a particular tool in Galaxy is often included on the tool page itself, inside Galaxy. To see this help, click on a tool in the left tool panel, and then scroll to the bottom of the center panel. Help includes parameter explanations, links to tool developers' help pages, and examples.

The long term plan is also to have a wiki page for each widely installed tool in Galaxy. These pages will hold supplementary information about both using the tools and setting them up. However, we haven't set that up yet.

In the meantime, for some tools there is also additional information available on this wiki:


Galaxy incorporates a track browser. This can be used to visualize genomic data within Galaxy in a tightly integrated way. The browser also currently supports (and aims to support maximally) visual analytics, where visualization is used iteratively to provide feedback on analysis. See Visualization for more. Additionally, Galaxy enables you to create bar diagrams, pie charts, scatter plots and other visualizations using the Charts plugin. See Galaxy Charts for more. Finally, custom visualizations developed by the user community are available here.

User Accounts

Galaxy user accounts are simple to create (email, password, user name and go!). An account is not required to access the Galaxy public Main or Test instances, but if used, the data quota is increased and full functionality across sessions opens up, such as naming, saving, sharing, and publishing Galaxy objects (Histories, Workflows, Datasets, Pages).