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A computational study reveals surprising flexibility hidden within metabolic networks, providing new evidence for an evolutionary concept called exaptation.
Machine learning techniques are helping scientists pinpoint the mutations that allow bird and pig viruses to infect humans.
In the complex architecture that ferries fluids in plants and brains, scientists are finding a model of resilience.
Population expansion may be a major driver in the evolution of cooperation, with implications for new antibiotics, cancer treatments and perhaps even human behavior.
An interview with the Berkeley chemist K. Birgitta Whaley on the promise and challenge of translating quantum biology into practical quantum devices.
Studies show that computer models called “neural networks” behave strikingly similar to actual brains when performing certain tasks, suggesting the two may learn in the same way.
Scientists are exploring how organisms can evolve elaborate structures without Darwinian selection.
Symbiotic bacteria that dwell within insect cells are intricately intertwined with their hosts, prompting scientists to question when these bacteria stop being bona fide organisms and become part of the cell.
More genetic data is available than ever before to help build evolutionary trees, but scientists are finding that different genes even in the same organism can tell conflicting stories.
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