caBIG® Capabilities
caBIG® offers a diverse set of capabilities to meet researcher needs. Many are at mature development stages; others, although less actively developed, remain readily available. This page helps you find the capabilities you need.
Quick Links
- caBIG® Clinical Trials Suite: Open-source software capabilities that facilitate electronic management of clinical trials and associated data, and enable comprehensive sharing and integration of clinical research information.
Contributing Community Code: Learn how to contribute your extensions or enhancements to caBIG® software back to the community,
caBIG® Model Open Source Software License: Model license for software distributed from NCI.
Summary View of Popular Capabilities
The following table provides quick access to caBIG® tools. If you need help, contact Application Support.
caCORE and Infrastructure
Many caBIG® tools connect to the caBIG® infrastructure through caGrid. Visit the caGrid Knowledge Center for more information.
NCI CBIIT has developed caCORE tools to provide to provide the building blocks for development of interoperable information management systems. Tools include:
- EVS (Enterprise Vocabulary Services) for hosting and managing vocabulary.
- caDSR (Cancer Data Standards Registry and Repository) for hosting and managing metadata.
- caCORE SDK and the GUI-based caCORE Workbench, and associated tools for model-driven software engineering.
- caAdapter - Open source tool set that provides model mapping services, and facilitates data mapping and transformation among different kinds of data sources.
Other Ways to Find caBIG® Tools
caBIG® offers more than 40 open source tools to the community including those listed on this page. To explore all the tools, select from the following:
- Search for Tools - search by keyword or other characteristics, including workspace, focus, compatibility, maturity, and architecture type.
- View All Tools Alphabetically - See the list of available software tools, database technologies, and Web applications in the areas of clinical trials management, biospecimens, imaging, genome annotation, proteomics, microarrays, pathways, data analysis and statistical tools, data sharing, infrastructure, vocabularies, and translational research.