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.
caBIG® Life Sciences Domain Analysis Model (LS DAM) v2.2.2 is Released
We are pleased to announce the release of the caBIG® Life Sciences Domain Analysis Model (LS DAM) v2.2.2. The LS DAM provides a shared view of semantics for the Life Sciences domain, which includes hypothesis-driven basic and pre-clinical research as well as discovery science. The changes to the LS DAM in this release are described in the Release Summary and include
Changes to the Experiment Core for clearer alignment with the ISA-TAB standard and to address feedback from HL7 Clinical Genomics Work Group collaborators Deletion of several classes determined not to be in scope of the model Addition of an LS DAM Users Guide Report and models from an LS DAM Ontological Representation Pilot project
For a complete list of modifications and additions to the LS DAM v 2.2.2, please see the Release Summary and Change List . For an exemplar on how the Experiment Core of the LS DAM could be instantiated to support a sample scenario, please see the Experiment Implementation Guide.
The LS DAM v2.2.2 model is available in two formats:
An Enterprise Architect file may be downloaded LS DAM v 2.2.2 EA file A web based view of the model is also available using Internet Explorer LS DAM v2.2.2 HTML
New Article: Informatics and Standards for Nanomedicine Technology
A recent focus article in “Wiley Interdisciplinary Reviews: Nanomedicine and Nanobiotechnology,” explores nanotechnology and its impact on medicine and biomedical research, as well as the need for informatics standards in Nanomedicine. To read more about how Nanotechnology has the potential to make medicine more personalized, predictive, and preemptive, click here.