BERKELEY, CALIF. — “You can’t go wrong in computer science,” Microsoft Corp. Chairman and Chief Software Architect Bill Gates told University of California, Berkeley students on Friday. Some students, ...

Our students are well-prepared to tackle complex biological systems and topics such as epidemiology, biotechnology, precision medicine and more. The undergraduate minor in computational biology ...

The use of computational techniques and information systems has revolutionized research in the biological sciences — from the analysis of DNA sequences and the understanding of gene expression and ...

Modern agricultural sensors allow unprecedented amounts of 3D data to be gathered for research. These capabilities play an important role in understanding complex biological systems such as plant ...

This page outlines the degree requirements for Computational Biology. This page is not an official list of degree requirements. Adjustments may be required due to curriculum changes. Current students ...

Built for computer science professionals entering the life sciences, this program develops foundational fluency in biology, bioinformatics, and statistical analysis for data-driven research. Through ...

Saint Louis University's accelerated computer science minor to Master of Science in Bioinformatics and Computational Biology allows a SLU student to complete both a minor in computer science and a ...

Most organic molecules have a mirror-image twin. This concept is known as chirality. Yet life only uses one chiral molecule, not the other. The reason for this asymmetry is one of the greatest ...

The UC Berkeley Office of Planning and Analysis, or OPA, recently released a database that lists student GPAs by major since 2007, revealing a trend of undergraduate grade deflation across a number of ...

An international team of researchers from biology, computer science and mathematics explains why evolution has a preference for symmetry. From sunflowers to starfish, symmetry appears everywhere in ...

Researchers used artificial intelligence to obtain a more objective understanding of cell growth and division without preconceived assumptions. Using a deep-learning neural network, they were able to ...