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The Leslie lab has developed a machine learning method that can predict transcription factor activity from a tumor’s protein expression profile and vice versa. The inferred protein signatures from mRNA profiles were also useful for predicting drug response and survival.
The Altan-Bonnet lab showed that T cell populations scale their production of the cytokine IL-2 to antigen abundance over a large dynamic range, independent of population size.
The Xavier lab coaxed P. aeruginosa to evolve into hyperswarmers at the cost of their ability to form biofilms associated with some diseases.
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at MSKCC pursues computational and systems biology research and bioinformatics resource development in the following areas:
Cancer cells undergo dramatic changes in metabolism that can reshape the tumor-stromal spatial structure, and ultimately potentiate tumor growth.
Carmona-Fontaine C, Bucci V, Akkari L, Deforet M, Joyce JA, Xavier JB. Proc Natl Acad Sci U S A 2013 Nov 11. more
Focus: Using genome-wide sequencing, investigators are identifying mutation patterns associated with specific carcinogen exposure.
Lee W, Ladanyi M. Sci Transl Med 2013 Aug 7, Vol 5(197):197fs31. more
Entropy-enthalpy compensation: role and ramifications in biomolecular ligand recognition and design
Chodera JD, Mobley DL. Annu Rev Biophys. 2013;42:121-142.more
Explore cancer genomics data via the cBio Cancer Genomics Portal.
The CGDS R-package has been released.
NetBox version 1 has been released.
The Cancer Genome Atlas has announced the selection of six Genome Data Analysis Centers.
Explore cancer genes with Gene Ranker.