Tools library

The Research Analysis Platform provides a full-featured toolkit for preparing and analyzing a wide range of datatypes.

About the Tools Library

The Tools Library under the Tools tab of the platform shows a complete list of apps and workflows available to you. Use filters to quickly find items by name, category, etc.

Learning about Individual Apps

Clicking on the name of an app will open up a separate information page which contains details about the app's inputs, outputs, and other documentation details. For apps encapsulating existing bioinformatics tools this page also contains licensing information, links to the website for that software, and citations to any related publications. This page also shows the version history for the app and developer documentation which describes the inner workings of the app in detail.

Genomics Apps

Translational Analysis Apps

Statistical Analysis

JupyterLabarrow-up-right app and JupyterLab with Spark Clusterarrow-up-right app provide access to

  • NumPy

  • SciPy

  • Matplotlib

  • Seaborn

  • Pandas

JupyterLab app with STATA feature provides access to

  • Stata (stata license to be provided by the user)

Image Processing

JupyterLabarrow-up-right app with IMAGE_PROCESSING feature provides access to

  • nipype

  • FreeSurfer

  • FSL

JupyterLabarrow-up-right app with MONAI_ML feature provides access to

  • 3D Slicer (5.8.1)

  • monai (1.5.0)

  • monailabel (0.8.5)

3D Slicerarrow-up-right is an interactive app that provides a 3D Slicer environment for radiology image visualization, registration, segmentation, and advanced analysis.

3D Slicer with MONAIarrow-up-right is an interactive app that provides an 3D Slicer environment integrated with MONAI Label for AI-assisted radiology image annotation and analysis. MONAI Label enables intelligent segmentation workflows through pre-trained models and active learning techniques.

Imaging Multitool - MONAIarrow-up-right is an app that provides a flexible, GPU-accelerated environment for medical imaging workflows using the MONAI framework. It enables execution of complex medical image analysis tasks without setting up local dependencies or managing computational resources.

ML frameworks

JupyterLabarrow-up-right app with ML feature provides access to

  • tensorflow

  • torch

  • cntk

  • keras

  • scikit-Learn

JupyterLab with Spark Clusterarrow-up-right app provides access to

  • MLlib

Utility Apps

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