Biophysical Neural Networks for Quantitative Analysis of Genomic Data — NSF Award to Trustees of Boston University (MA, $683,122)
A quantitative and predictive understanding of gene regulation – how, when, and why specific genes are expressed as proteins - is crucial to fully deciphering cellular function which has profound consequences for biology, medicine, and biotechnology. Understanding and harnessing gene regulation is central to numerous a
| Award title | Biophysical Neural Networks for Quantitative Analysis of Genomic Data |
|---|---|
| Award ID | 2448028 |
| Awardee | Trustees of Boston University |
| City | BOSTON |
| State | MA |
| Amount obligated | $683,122 |
| Principal investigator | James Galagan |
| Program | Innovation: Bioinformatics |
| Start date | 08/01/2025 |
| Abstract | A quantitative and predictive understanding of gene regulation – how, when, and why specific genes are expressed as proteins - is crucial to fully deciphering cellular function which has profound consequences for biology, medicine, and biotechnology. Understanding and harnessing gene regulation is central to numerous applications in biofuels, biopharmaceuticals, and biotechnology. Moreover, many diseases including cancer, genetic disorders, and autoimmune conditions, result from misregulated gen |
| Source | NSF Awards |
$799/mo
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