Machine learning and experimental tests of receiver bias identify signal components critical to correct species classification in guenons, linking face pattern diversity to selection for species discrimination.
An open-source python package for phenotype analyses provides a versatile, modular and user-friendly solution to determine complementary fitness-related traits from large-scale assays of microbial colonies.
For many bacterial species, recombination dominates genome evolution and phylogenetic patterns that have so far been assumed to reflect clonal relationships, in fact reflect variation in recombination rates across lineages.
A general machine learning scheme for integrating time-series data from single-molecule experiments and molecular dynamics simulations is proposed and successfully demonstrated for the folding dynamics of the WW domain.
A gain-of-function in a new chemical defense resulted in no trade-offs and and independent evolution between novel and ancestral defenses, suggesting low redundancy among different defensive chemicals.
The first genomic view of beetle luciferase evolution indicates evolutionary independence of luciferase between fireflies and click-beetles, and provide valuable datasets which will accelerate the discovery of new biotechnological tools.