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Updated: Jul 17, 2026
09:23
Impedance-based Real-time Measurement of Cancer Cell Migration and Invasion
Published on: April 2, 2020
The Cancer Biomedical Informatics Grid (caBIGTM)
David Fenstermacher1, Craig Street, Tara McSherry
1Biomedical Informatics Facility, Abramson Cancer Center; Department of Pathology and Laboratory Medicine, University of Pennsylvania.
Summary
The National Cancer Institute
Area of Science:
- Biomedical Informatics
- Cancer Research
- Computational Biology
Background:
- Genomics and proteomics generate vast amounts of data.
- Biomedical research is shifting towards large collaborative teams.
- Integrating diverse data sources is crucial for cancer research.
Purpose of the Study:
- To describe the Cancer Biomedical Informatics Grid (caBIG).
- To highlight caBIG's role in facilitating data sharing and collaboration.
- To outline caBIG's development of tools for managing large-scale research data.
Main Methods:
- Developing and modifying software for Clinical Trials Management Systems.
- Integrating Tissue Banks and Pathology Tools.
- Creating Integrated Cancer Research tools.
Main Results:
- caBIG is establishing a computational network for cancer researchers.
- The project aims to enable seamless data sharing and utilization of common analytical tools.
- Software development focuses on managing high-throughput data and fostering collaboration.
Conclusions:
- caBIG is a crucial initiative for advancing cancer research through informatics.
- The project addresses the challenges posed by big data in genomics and proteomics.
- caBIG promotes a collaborative research environment for comprehensive cancer studies.
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