Computational models and software connect metagenomics to metabolic network reconstruction, assess metabolic complementarity between species, and identify critical species associated to functions of interest.
Development of a fully automated pain scale using machine learning tools in computational neuroethology and creation of new software, reveals a robust circuit-dissection compatible platform for objective pain measurement.
A new software developed for high-throughput antibody, T cell receptor, and MHC repertoire analysis uncovers neutrality of the binding interface and intramolecular crosstalk as distinguishing properties of polyreactive antibodies.
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.
DeepFly3D, a deep learning-based software, measures limb and appendage movements in tethered, behaving Drosophila and enables precise behavioral measurements during neural recordings, stimulation, and other biological experiments.