Scientific Resources

Available open access data sets and software can be found here:

Peifer et al. 2012 Integrative genome analyses identify key somatic driver mutations of small-cell lung cancer. Nat Genet. 2012 Oct; 44(10):1104-10. Dataset  

Sos et al. 2012 A framework for identification of actionable cancer genome dependencies in small cell lung cancer. Proc Natl Acad Sci U S A. 2012 Oct 16;109(42):17034-9. Dataset

Weiss et al. 2010 Frequent and Focal FGFR1 Amplification Associates With Therapeutically Tractable FGFR1 Dependency in Squamous-cell Lung Cancer. Sci Transl Med 2010 Dec 15;2(62):62ra93. Dataset

Sos et al. 2009 Predicting drug susceptibility of non-small cell lung cancers based on genetic lesions. J Clin Invest. 2009 Jun;119(6):1727-40. Dataset: Gene expressiondataset: SNP

Clinical Lung Cancer Genome Project (CLCGP) and Network Genomic Medicine (NGM) 2013  A genomics-based classification of human lung tumors. Sci Transl Med. 2013 Oct 30;5(209):209ra153. Dataset 

Malchers et al. 2013 Cell-autonomous and non-cell-autonomous mechanisms of transformation by amplified FGFR1 in lung cancer. Cancer Discov. 2013 Dec 3. Dataset

Lu et al. 2013 CGARS: Cancer Genome Analysis by Rank Sums. Software and Data examples

George et al. 2015 Comprehensive genomic profiles of small cell lung cancer. Nature 2015. Dataset of murine SCLC tumors

Software developed in the course of the Department of Translational Genomics is available for download. Technical queries and feedback should be sent directly to the authors.