cegs.dfci.harvard.edu
Publications | CEGS
http://cegs.dfci.harvard.edu/publications
Current CEGS publications here. For previous CEGS publications click CEGS I Pubs. Sharma A, Menche J, Huang CC, Ort T, Zhou X, Kitsak M, Sahni N, Thibault D, Voung L, Guo F, Ghiassian SD, Gulbahce N, Baribaud F, Tocker J, Dobrin R, Barnathan E, Liu H, Panettieri RA, Jr., Tantisira KG, Qiu W, Raby BA, Silverman EK, Vidal M, Weiss ST and Barabási A-L. A disease module in the interactome explains disease heterogeneity, drug response and captures novel pathways and genes in asthma. Hum Mol. Genet. Disease ne...
cegs.dfci.harvard.edu
Resources | CEGS
http://cegs.dfci.harvard.edu/resources
CCSB Human Interactome Database. CCSB Human ORFeome Collection. Other Databases & Resources. FuncBase: a resource for quantitative gene function annotation. FuncAssociate: a resource for gene set enrichment analysis. CCNR network resources and analyses. GeneSigDB: a curated database of gene expression signatures. Pathway Palette: a rich internet application for peptide-, protein- and network-oriented analysis of MS data. 032;Marc Vidal and David Hill. Frederick P. (Fritz) Roth. CEGS I Viral Perturbation.
cegs.dfci.harvard.edu
Events | CEGS
http://cegs.dfci.harvard.edu/events
12th Annual NHGRI CEGS Meeting. Center for Cell Circuits. Broad Institute, Cambridge, Massachusetts. Oct 28 – Oct. 30). 11th Annual NHGRI CEGS Meeting. Wisconsin Center of Excellence in Genomics Science. The University of Wisconsin Fluno Center, Madison, Wisconsin. Oct 15 – Oct. 17). National Advisory Council for Human Genome Research. National Institutes of Health. Tenth Annual NHGRI CEGS Meeting. Center for Integrated Systems Genomics (CISGen). At UNC Chapel Hill, North Carolina.
cegs2.dfci.harvard.edu
Overview | CEGS
http://cegs2.dfci.harvard.edu/about
Genomic Analysis of Network Perturbations in Human Disease. II Edgetic Perturbations at Large Scale. The overriding principle behind all the CCSB CEGS efforts is that making sense of genotype-phenotype relationships requires that phenotypes be viewed as manifestations of network properties, rather than simply the result of genomic variations considered individually. How to find causal variants? How to functionalize the disease gene variants? Functionalize causal genome variants. Mutations can disrupt exp...
cegs.dfci.harvard.edu
Overview | CEGS
http://cegs.dfci.harvard.edu/about
Genomic Analysis of Network Perturbations in Human Disease. II Edgetic Perturbations at Large Scale. The overriding principle behind all the CCSB CEGS efforts is that making sense of genotype-phenotype relationships requires that phenotypes be viewed as manifestations of network properties, rather than simply the result of genomic variations considered individually. How to find causal variants? How to functionalize the disease gene variants? Functionalize causal genome variants. Mutations can disrupt exp...
cegs.dfci.harvard.edu
Investigators | CEGS
http://cegs.dfci.harvard.edu/investigators
The overarching goal of this CEGS is to interpret how human genomic variations affect local and global properties of cellular networks to induce disease. Marc Vidal and David Hill. Center for Cancer Systems Biology, Dana-Farber Cancer Institute. Vidal M, Cusick ME and Barabási AL, Interactome networks and human disease. Center for Complex Network Research, Northeastern University. Barabási AL, Gulbahce N, Loscalzo J. Network medicine: a network-based approach to human disease. The computational and exper...