New users overview
How to set up and work in the Terra platform 1. Platform overview 2. Account and billing setup 3. Accessing and managing data 4. Pipelining 5. Interactive analysis
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Bioinformatics in the cloud on Terra
Terra's mission is “to help accelerate research by integrating data, analysis tools, and built-in security components to deliver frictionless research flows from data to results”. This sounds great, but how does it help you do your research? In th...
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Account setup and exploring Terra
Terra's mission is to help accelerate your research by integrating data, analysis tools, and built-in security components to deliver frictionless research flows from data to results. Join our community and see how a cloud-native platform - built ...
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The workspace: where the magic happens
Big Data - A blessing and a curse Today there’s a treasure trove of datasets researchers could only dream about a decade ago. Vast amounts of genomic and phenotypic data from diverse participants that could help unlock the mysteries of diseases fr...
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Navigating in Terra
You can open the main menu bar for navigating Terra by clicking the three horizontal lines in the top left of the screen at any time. Use this menu to sign in and out of Terra, and navigate to the following sections, described in more detail bel...
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Understanding data in the Cloud
Managing and organizing large amounts of data stored in multiple locations in the cloud can be challenging. Where is data stored? How do you access the data for analysis? How do you analyze it, and share results with colleagues? How do you organiz...
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Pipelining with Workflows
Workflows (aka pipelines) are a series of steps performed by an external compute engine - often used for automated, bulk analysis (such as aligning genomic reads). Pipelines run on Terra are written in Workflow Description Language (WDL), a workfl...
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Interactive statistics and visualization with Jupyter notebooks
Jupyter notebooks are an open-source analysis environment where you can visualize and analyze data in real time to gain insight into study data. Import data including processed genomics, phenotype and transcriptomics data stored in the cloud and...
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