Dr. Daifeng Wang won SBU-BNL Seed Grant on Large-Scale Comparative Regulatory Network Analysis in Photosynthetic Organisms
BMI faculty Dr. Daifeng Wang, together with Dr. Ian Blaby from Brookhaven National Laboratory, won the 2017 SBU-BNL SEED grant on "Large-Scale Comparative Regulatory Network Analysis in Photosynthetic Organisms".
A new study entitled "Integrated Genomic Characterization of Pancreatic Ductal Adenocarcinoma" was published in the August issue of Cancer Cell from The Cancer Genome Atlas network. The work investigated the molecular landscape of pancreatic adenocarcinoma. BMI faculty Dr. Richard Moffitt served as the analysis coordinator for the project, which involved the work of over 200 scientists.
What did you do this summer? For three Stony Brook faculty members this question is easy to answer. They were the leaders of a four week computer science and informatics summer program for high school students. Read more here.
Sponsored by the Institute for Healthcare Improvement, Stony Brook Chapter, Biomedical Informatics Department, and Stony Brook University, we are holding our Clinical Informatics again!
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Dr. Joel Saltz received the 2017 Marco Ramoni Distinguished Paper Award for Translational Bioinformatics at the AMIA Joint Summits Meeting
Dr. Joel Saltz received the 2017 Marco Ramoni Distinguished Paper Award for Translational Bioinformatics at the AMIA Joint Summits Meeting for his paper “Towards Generation,Management, and Exploration of Combined Radiomics and Pathomics Datasets forCancer Research J. Saltz, J. Almeida, Y. Gao, Stony Brook University; A.Sharma, Emory University; E. Bremer, T. DiPrima, T. Kurc, M. Saltz, Stony Brook University; J. Kalpathy–Cramer, Massachusetts General Hospital.
“This award is given to the first author of the paper at the meeting that best exemplifies the application of informatics methods to the elucidation of basic molecular biology processes that are relevant to the conquest of human disease. The paper describes a novel interactive tool for data visualization of Genomic, Pathomic and Radiomic data integrated to patient outcomes and demographics. To learn more about this innovative tool listen to Dr. Mary Saltz’s video about FeatureExplorer. To interactively explore this tool please click here