Bandyopadhyay, S Kelley, R Krogan, Nj Trey Ideker
Published in
PLoS Computational Biology
Recently, a number of advanced screening technologies have allowed for the comprehensive quantification of aggravating and alleviating genetic interactions among gene pairs. In parallel, TAP-MS studies (tandem affinity purification followed by mass spectroscopy) have been successful at identifying physical protein interactions that can indicate pro...
Beyer, A Workman, C Hollunder, J Radke, D Möller, U Wilhelm, T Trey Ideker
Published in
PLoS Computational Biology
Systematic chromatin immunoprecipitation (chIP-chip) experiments have become a central technique for mapping transcriptional interactions in model organisms and humans. However, measurement of chromatin binding does not necessarily imply regulation, and binding may be difficult to detect if it is condition or cofactor dependent. To address these ch...
Bilal, E Dutkowski, J Guinney, J Jang, Is Logsdon, Ba Pandey, G Sauerwine, Ba Shimoni, Y Moen Vollan, Hk Mecham, Bh
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Published in
PLoS Computational Biology
Breast cancer is the most common malignancy in women and is responsible for hundreds of thousands of deaths annually. As with most cancers, it is a heterogeneous disease and different breast cancer subtypes are treated differently. Understanding the difference in prognosis for breast cancer based on its molecular and phenotypic features is one aven...
Dutkowski, J Trey Ideker
Published in
PLoS Computational Biology
Many biological and clinical outcomes are based not on single proteins, but on modules of proteins embedded in protein networks. A fundamental question is how the proteins within each module contribute to the overall module activity. Here, we study the modules underlying three representative biological programs related to tissue development, breast...