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# A Short Introduction to Galaxy
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??? Presenter notes contain extra information which might be useful if you intend to use these slides for teaching. Press `P` again to switch presenter notes off Press `C` to create a new window where the same presentation will be displayed. This window is linked to the main window. Changing slides on one will cause the slide to change on the other. Useful when presenting. --- ### <i class="far fa-question-circle" aria-hidden="true"></i><span class="visually-hidden">question</span> Questions - What is Galaxy? - Why should I use Galaxy? - How do I use Galaxy? - How can I connect with the Galaxy Community? --- # What is Galaxy? ??? What is Galaxy? --- ![Galaxy Logo](/training-material/shared/images/galaxy_logo_25percent_transparent.png) **Data Intensive *analysis* for everyone** .pull-left[ - **Data Analysis** platform - Web-based - **Easy** to use - **Free** and Open Source - Many tools (~8000) - Popular (>10.000 [publications](https://www.zotero.org/groups/1732893/galaxy)) - Extensive [tutorials](https://training.galaxyproject.org) available ] .pull-right[ ![data science infographic](/training-material/topics/introduction/images/data_science.jpg) <!-- https://pixy.org/3013900/ CC0 license--> ] .footnote[Homepage: [galaxyproject.org](https://galaxyproject.org)] ??? - Galaxy is a web based data analysis platform. - It is easy to use, and completely free. - Galaxy offers over eight thousand analysis tools. - Galaxy is widely used. It currently has over ten thousand publications. --- # Why use Galaxy? - It's **easy**! - No installation, all you need is a browser. - No complex commands, just point and click! - Makes your research **reproducible** - Galaxy keeps track of all analysis details - **Cross-domain**: bioinformatics, chemistry, ecology, climate science, .. ![Galaxy resource banner](/training-material/topics/introduction/images/titleless-use-resource-banner.png) ??? - Data analysis can be very complex. - It often requires specialized programming knowledge or command line skills. - Galaxy makes this a lot easier by providing a web-based user interface to popular data analysis tools. - This means you don't have to install anything, just open your browser and go to Galaxy. - Galaxy also helps you make your research reproducible by keeping track of your analysis steps. - Galaxy supports many different scientific domains. --- # How do I use Galaxy? ??? - How do I use Galaxy? --- # Find a Galaxy server - **The Big Three**: Galaxy Main ([usegalaxy.org](https://usegalaxy.org)), Galaxy Europe ([usegalaxy.eu](https://usegalaxy.eu)), Galaxy Australia ([usegalaxy.org.au](https://usegalaxy.org.au)) .image-50[![usegalaxy.* servers](/training-material/shared/images/usegalaxy_servers.png)] - Many other smaller, often domain-specific Galaxies available - List of all public Galaxies (125+): [galaxyproject.org/use](https://galaxyproject.org/use/) ??? - There are three main Galaxy servers: Galaxy Main, Galaxy Europe, and Galaxy Australia. - These three Galaxies have the biggest teams behind them, and offer the most tools and resources. - You can register an account for free on any of these servers. - In addition, there are many smaller Galaxy servers to choose from. - Many of these are domain specific. For example, Galaxy Proteomics focuses on proteomics tools and workflows. - A lot of universities and other institutions have local private servers. --- # The Galaxy Interface - Three main panels - **Left:** Available Tools - **Middle:** View your data and run tools - **Right:** Full record of your analysis **history** ![Galaxy user interface](/training-material/topics/introduction/images/galaxy_interface.png) ??? - The Galaxy user interface consists of three main parts. - On the left is the list of available tools. - In the middle panel you will run your analysis tools and view your data and results. - On the right is a full record of your analysis history. --- # Uploading data .pull-left[ - Upload from **your computer** - Import files **from URL** - Import from **public data stores** - UCSC, NCBI, ENA, many more.. ] .pull-right[ ![Galaxy upload button](/training-material/topics/introduction/images/upload-data.png) ] ??? - The first step of an analysis is to get your data into Galaxy. - This can be done in several ways. - You can upload files from your computer. - Or you can enter an Internet URL, and Galaxy will download the data for you. - Furthermore, Galaxy can import data directly from many online data stores such as UCSC, NCBI, and many more. --- # History .pull-left[ - The **history** collects all the files of your analysis - Three buttons - <i class="far fa-eye" aria-hidden="true"></i><span class="visually-hidden">galaxy-eye</span> **View** the file - <i class="fas fa-pencil-alt" aria-hidden="true"></i><span class="visually-hidden">galaxy-pencil</span> **Edit attributes** - e.g. change name - <i class="fas fa-times" aria-hidden="true"></i><span class="visually-hidden">galaxy-cross</span> **Delete file** - Click to **expand** - file information - format, size, .. - file preview - file options - download, visualize, .. ] .pull-right[ ![expanding a dataset](/training-material/topics/introduction/images/galaxy_history_dataset_expand.gif) ] ??? - All files you upload will appear in your history. - There are 3 button on each dataset in your history. - The eye icon lets you view the dataset. This will show up in the middle panel of Galaxy. - The pencil icon allows you to edit the attributes of the file. For example you can change the file name here. - The cross icon lets you delete the dataset from your history. - You can also click on the dataset to expand it. This will show more information and more options. --- # Finding a tool .pull-left[ - Explore tool panel sections - Enter name in **Tool search** box ] .pull-right[ ![tool search box](/training-material/topics/introduction/images/tool_search.png) ] <br> - <i class="far fa-star" aria-hidden="true"></i><span class="visually-hidden">galaxy-star</span> **Star** you favorite tools to make them easier to find ![add a tool to your favorites by clicking on the star icon](/training-material/topics/introduction/images/tool_favorite.png) ??? - After your data is uploaded, you are ready to run tools. - You can find tools by exploring the tool list on the left. - If you already know the name of the tool you want to use, you can enter this in the search box at the top of the tool panel. - If you have found a tool you like, you can add it to your favorites by clicking the star at the top of the tool. --- # Running a tool .pull-left[ - Choose **input files** - Set tool **parameters** - **Execute** - Below tool form: - Help information - Tool citation ] .pull-right[ ![tool interface](/training-material/topics/introduction/images/galaxy_tool.png) ] ??? - When you click on a tool, it will show up in the middle panel. - Here you can select your input files and set the parameters for the tool. - Then you can hit the Execute button to start the tool. - Older versions of a tool are usually kept available to ensure reproducibility. --- # Analysis Results .pull-left[ - Tool outputs are added to the history - Different dataset states - <span style="background-color: lightgrey"> waiting </span>, <span style="background-color: orange"> running </span>, <span style="background-color: lightgreen">success</span>, <span style="background-color: red">failed</span> - Expand for more options - <i class="far fa-save" aria-hidden="true"></i><span class="visually-hidden">galaxy-save</span> **Download** dataset - <i class="fas fa-info-circle" aria-hidden="true"></i><span class="visually-hidden">galaxy-info</span> **Information** about tool run - <i class="fas fa-redo" aria-hidden="true"></i><span class="visually-hidden">galaxy-refresh</span> **Reload** tool with the same parameters - <i class="fas fa-chart-bar" aria-hidden="true"></i><span class="visually-hidden">galaxy-barchart</span> **Visualize** dataset - Red dataset? - <i class="fas fa-bug" aria-hidden="true"></i><span class="visually-hidden">galaxy-bug</span> Click Bug icon - view error message - submit error report ] .pull-right[ ![example tool run](/training-material/topics/introduction/images/tool_run.gif) ] ??? - The results of the analysis will be added to your history. - You will see these output files go through various states. - When a dataset is grey, it means it is waiting to run. - When it turns orange, it means the tool is running. - When the tool is finished, the outputs will turn green if the tool ran successfully. - You can then click on the history item to get more information and options. - For example, you can download the file to your computer. - Or you can reload the tool with the same parameters. - There is also an option to visualize your data. - If there was a problem with the tool, it will turn red. - You can click on the bug icon to view the error message or submit a error report to the Galaxy administrators. --- # Visualisations - Galaxy has many options to visualize data ![Examples of 6 different visualisations in galaxy features an MSA, a couple graphs, RNA structure, and 3d visualisations of proteins](/training-material/topics/dev/images/charts_examples2.png) ??? - Galaxy offers several ways to visualize your datasets depending on their format. - For example, protein PDB data can be seen in a 3D viewer. --- # Multiple Analyses - Starting a new analysis? Create a new history <i class="fas fa-plus" aria-hidden="true"></i><span class="visually-hidden">new-history</span> - You can have as many histories as you want - Overview of all your histories <i class="fas fa-columns" aria-hidden="true"></i><span class="visually-hidden">galaxy-history</span> - Good names for your histories help to keep track of your analyses ![multiple history view](/training-material/topics/introduction/images/galaxy_interface_multiple_histories.png) ??? - When you want to start a new analysis, create a new history using the plus icon at the top of the history panel. - You can always go back to an old history, and there is no limit on the number of histories you can create. - An overview of your histories is available where you can easily copy files around. - Copying datasets instead of re-uploading them let you save on your quota. - Giving your histories good names will help you keep track of your analyses' --- # Workflows - Run **end-to-end analyses** with one click ![Workflow interface](/training-material/topics/introduction/images/101_28.png) - **Extract** from a history - **Build manually** with workflow editor - **Import** a shared workflow ??? - Workflows let you run your analyses very easily by connecting tools' outputs and inputs. - There are multiple ways to create a workflow. - Workflows can be automatically extracted from a history. - This means you perform the analysis manually once, and then can easily repeat it on different input data. - You can also build workflows by hand using the workflow editor to connect the tools. - Or you can import a workflow somebody else has shared with you. --- # Sharing - You can share everything you do in Galaxy - Histories, Workflows, Visualizations - Sharing options - Share with specific users - Share via link - *Publish* to make it visible to everybody ![shared data menu](/training-material/topics/introduction/images/shared_data.png) ??? - Everything you do in Galaxy can be shared. - You can share your history, your workflow, and your visualizations. - There are different ways to share your work. - You can either share it with specific Galaxy users. - Or you can get a share link that you can send to anybody. - If you publish your work, it will be visible to everybody. --- # Learning Galaxy - Galaxy Training Materials ([training.galaxyproject.org](https://training.galaxyproject.org)) <!--SNIPPET--> <!-- tutorial stats --> <div class="row"> <div class="col-md-4"> <div class="gtn-card color-agenda"> <div class="card-title">31</div> <div class="card-text">Topics</div> </div> </div> <div class="col-md-4"> <div class="gtn-card color-tip"> <div class="card-title">308</div> <div class="card-text">Tutorials</div> </div> </div> <div class="col-md-4"> <div class="gtn-card color-details"> <div class="card-title">356</div> <div class="card-text"><abbr title="Frequently Asked Questions">FAQs</abbr></div> </div> </div> <div class="col-md-6"> <div class="gtn-card color-comment"> <div class="card-title">282</div> <div class="card-text">Contributors</div> </div> </div> <div class="col-md-6"> <div class="gtn-card color-handson"> <div class="card-title">7.6</div> <div class="card-text">Years</div> </div> </div> </div> ??? - If you would like to learn more about Galaxy, there are a large number of tutorials available. - These tutorials cover a wide range of scientific domains. --- # Getting Help - **Help Forum** ([help.galaxyproject.org](https://help.galaxyproject.org)) ![Galaxy Help](/training-material/topics/introduction/images/galaxy_help.png) - **Chat on Matrix** - [Main Chat](https://matrix.to/#/#galaxyproject_Lobby:gitter.im) - [Galaxy Training Chat](https://matrix.to/#/#Galaxy-Training-Network_Lobby:gitter.im) - Many more channels (scientific domains, developers, admins) ??? - If you get stuck, there are ways to get help. - You can ask your questions on the help forum. - Or you can chat with the community on Matrix. --- # Join an event - Many Galaxy events across the globe - Event Horizon: [galaxyproject.org/events](https://galaxyproject.org/events) ![Event schedule](/training-material/topics/introduction/images/event_horizon.png) ??? - There are frequent Galaxy events all around the world. - You can find upcoming events on the Galaxy Event Horizon. --- ### <i class="fas fa-key" aria-hidden="true"></i><span class="visually-hidden">keypoints</span> Key points - Galaxy lets you perform complex data analysis right from your browser - These analyses are *reproducible*; Galaxy keeps track of all the details of your analysis - Galaxy has a very large and active user community - There are many training materials available to learn Galaxy --- ## Thank You! This material is the result of a collaborative work. Thanks to the [Galaxy Training Network](https://training.galaxyproject.org) and all the contributors!
This material is licensed under the Creative Commons Attribution 4.0 International License