search

Interactive Analysis

The interactive analysis features of Terra support interactive data exploration, including the use of statistical methods and graphical display. Versatile and powerful interactive analysis is provided through Jupyter Notebooks in both Python and R languages.

Jupyter Notebooks run on a virtual machine (VM). You can customize your VM’s installed software by selecting one of Terra's preinstalled notebook cloud environments or choosing a custom environment by specifying a Docker container. Dockers ensure you and your colleagues analyze with the same software, making your results reproducible.

Article: Interactive statistics and visualization with Jupyter notebooksarrow-up-right Article: ​Customizing your interactive analysis application computearrow-up-right Article: ​Terra's Jupyter Notebooks environment Part I: Key components arrow-up-rightArticle: ​Terra's Jupyter Notebooks environment Part II: Key operations arrow-up-rightArticle: ​Terra's Jupyter Notebooks environment Part III: Best Practices arrow-up-rightVideo: Notebooks overview arrow-up-rightVideo: Notebooks Quickstart walkthrough arrow-up-rightWorkspace: Notebooks Quickstart workspace arrow-up-rightWorkspace: BioData Catalyst notebooks collection arrow-up-rightWorkspace: PIC-SURE Tutorial in R arrow-up-rightWorkspace: PIC-SURE Tutorial in Pythonarrow-up-right

PreviousBatch Processing with WorkflowsNextGenome-Wide Association Studies

Last updated

Was this helpful?