Archive by category | Systems Medicine

Open Source Biology

Open Source Biology

Novartis, The Broad Institute, and Lund University today announced the completion of a genome-wide map of genetic differences in humans and their relationship to type 2 diabetes and other metabolic disorders. All results of the analysis are being made accessible, free of charge on the internet to scientists around the world (Novartis Media Release, Feb 12, 2007) The results of this study are available at http://www.broad.mit.edu/diabetes/ Has the increasing complexity of genome-wide studies and other large-scale systems biology datasets reached a threshold that makes the open source option more attractive to the pharma industry?  Read more

Connecting disease state to genetic modules

Connecting disease state to genetic modules

Diseases such as cancer are often related to collaborative effects involving interactions of multiple genes within complex pathways, or to combinations of multiple SNPs. To understand the structure of such mechanisms, it is helpful to analyze genes in terms of the purely cooperative, as opposed to independent, nature of their contributions towards a phenotype (Anastassiou, 2007).  Read more