2010 - Transplantomics and Biomarkers in Transplantation
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PERSONALIZING MEDICINE THROUGH OMICS
5.2 - TOOLS FOR INTEGRATIVE GENOMICS
Presenter: Michael, Reich, Boston, USA
Authors: Michael Reich
TOOLS FOR INTEGRATIVE GENOMICS
Michael Reich, Broad Institute of MIT and Harvard, Boston, MA, USA
Michael Reich, Broad Institute of MIT and Harvard, Boston, MA, USA
Learning Objectives:
1. Learn how integrative genomics is contributing to our understanding of biology and the mechanisms of disease.
2. Learn about tools developed at the Broad Institute for the analysis of integrative genomics data.
Integrative genomics provides unprecedented power to increase our understanding of basic biological processes and determine the mechanisms of disease. This approach – the combining of evidence from multiple data modalities such as gene expression, copy number, epigenetic, and mutation data to find the genomic causes of a disease state – has resulted in the identification of novel mutations, the discovery of causal relationships between genomic aberrations and clinical pathologies, and other important insights in the short time it has been in practice. To take advantage of this wealth of data, new tools are needed that can span data modalities and support the very large datasets characteristic of integrative efforts. The Broad Institute has produced a number of software tools to facilitate integrative genomics investigations, including GenePattern, a suite of over 120 tools for the analysis of gene expression, copy number, proteomics, flow cytometry, and other data, along with extensive capabilities for combining these tools to create complex, reproducible methodologies; and the Integrative Genomics Viewer (IGV), a flexible, scalable, high-performance tool for the concurrent visualization of multiple large scale datasets. These freely available tools are used by tens of thousands of researchers worldwide to improve our understanding of cancer, immunology, microbial genomics, stem cell biology, and other fields.
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