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titleUseful Links

titleICR Active Working Groups
titleInactive ICR Working Groups

The Integrative Cancer Research Workspace is producing modular and interoperable tools and interfaces that provide for integration between biomedical informatics applications and data. This will ultimately enable translational and integrative research by providing for the integration of clinical and basic research data. The Workspace is developing a software-engineered, well-documented and validated biomedical informatics toolset for use throughout the research community.

Additional information is also found on the Molecular Analysis Knowledge Center site.

Recent News

titleLife Sciences Domain Analysis Model

We are pleased to announce the release of the caBIG® Life Sciences Domain Analysis Model (LS DAM) v2.0 has been released2. The LS DAM is provides a shared view of the semantics for the Life Sciences domain, which includes hypothesis driven basic and pre-clinical research as well as discovery sciences. It is aligned , where appropriate, with the Clinical Sciences BRIDG with the BRIDG model, (which covers supports protocol-driven clinical research. The LS DAM is a foundational component for achieving semantic interoperability among the various applications across caBIG® ) and is bound to the ISO 21090 data type standard. The LS DAM is a tool that will aid software developers in achieving semantic interoperability across information systems.

The major changes in this release are described in the Release Summary and include:

  • Creation of a Life Sciences Scope Statement
  • Update to the Molecular Biology core component to promote consistent use of the model when dealing with physical entities and/or information about those entities
  • Expansion of Experiment Core(formerly called the Generic Assay model) to include ExperimentalParameters
  • Addition of the BRIDG aligned Performer role based class which was identified as a gap through analysis of Pathology Imaging Use Cases
  • Representation for biologic models by inclusion of classes for CellCulture, CellLine, MicrobiologicCulture, subSpeciesRank identified through analysis of Pathology Imaging Use Cases
  • Support for material compositions by addition of MaterialRelationship class (and removal of caNanoLab derived specializations of Material that can now be handled more elegantly)
  • Further development of the Container concept
  • Addition of attributes to the Software class
  • Common Biorepository Model mappings are documented and added as tags in the UML modelExperiment Core Model Implementation Guide
  • Addition of attributes in the Molecular core of the model and linking Experiment to generated Materials
  1. These changes were identified and validated through a survey of multiple public ‘omics databases (200+ potential entities, data types, roles and outcomes likely to result from the study of biologic systems including genetic variation, genomics, and proteomics) and pathology imaging whole slide image scenarios

For a complete list of modifications and additions to the LS DAM v 2.12, please see the Release NotesSummary and Model Documentation.For those interested in viewing the   For an exemplar on how to use the Experiment Core of the LS DAM, please see the Experiment Implementation Guide.

The LS DAM v2.1 model2 model is available in two formats:

For more information on the LS DAM see the LS DAM Wiki page.

titleNanoParticle Ontology

We have released a new version of the NanoParticle Ontology(NPO). This version includes new terms that describe “scales of measurement” and nanomaterials. We made some modification to the nanomaterial branch and added new terms based on ISO terminology.

NPO RELEASE DOCUMENTS: To view the new release documents, please go to .

NPO VISUALIZATION: To browse and visualize the NPO, please go to .

NPO INCLUDED IN NCI METATHESAURUS: The NPO is now included in the NCI metathesaurus (NCIm), which can be accessed at .
The NCI metathesaurus contains about 3,600,000 terms from over 76 vocabularies, and these terms are mapped to about 1,400,000 biomedical concepts. Terms from multiple vocabularies that are mapped to a single biomedical concept allows the user to choose from the multiple vocabularies to annotate data. Simultaneously, this facilitates discovery of vocabularies unknown to the user. By the inclusion of NPO into the NCI metathesaurus, we expect that NPO accessibility and usage will be extended within the NCIm; NPO will add semantics into the NCIm; and that NCIm users will be able to take advantage of the knowledge provided by NPO.

NPO TERM SUGGESTION: The NCI term suggestion application allows for users to suggest terms for NPO. To suggest terms for NPO, you may use the NCI term suggestion application, available at: