Bioinformatics Core


To improve understanding of human healthy aging through excellence in bioinformatics.


Provide state of the art solutions to support the Buck Institute laboratories with data management and analysis, and conduct collaborative interdisciplinary research on aging.


We are now in an age where lab experiments in biomedical technology can generate far more data than can be analyzed using traditional methods. We are now able to, in a single experiment, sequence a genome, interrogate all of the genes that are active in a cell, selectively turn off (or knock down) every gene in an organism, or identify the macromolecules and metabolites in a complex bio-mixture. To enable this next generation of analytical science, Professor Sean Mooney and his team have developed a collaborative service to provide systems biology modeling to the laboratories at the Buck Institute. Bioinformatics is the emergent field that bridges information  technology, statistics and experimental biology enabling useful and confirmed hypotheses.

One of our efforts is focused on 'translating' basic research findings in aging and aging associated disease into findings that make an impact on current clinical practice, hence the name 'translational biomedical informatics'. Any researcher with a challenge, no matter how large or small, can consult with members of our core to address issues of data management and analysis. Some of our current projects involve clinical interpretation of human genome sequences, analysis of active genes in aging models of fruit flies and nematode worms, development of the next generation national information technology infrastructure (termed 'cyberinfrastructure') and developing new tools to test basic research hypotheses using large scale electronic medical record datasets.

We are now truly in the age of predictive modeling --  that is, we can build computational tools that make predictions in the form of questions that can be asked experimentally or clinically.

If you are a researcher interested in collaboration either within the institute or outside, please contact the lab director, Prof. Sean Mooney.

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