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.
A computer model of human cardiomyocyte was produced and validated on independent datasets, overcoming shortcomings of its predecessors, also yielding broadly relevant insights and results on major ionic currents.
In a minimalistic, generic model of competitive communities in which evolution is constrained by life-history trade-offs, stable biodiversity emerges with species adapted to different functional niches.
Basal ganglia output neurons use the NALCN leak channel to maintain their characteristic tonic firing, and this channel is important for the modulation of firing by metabolic or receptor-mediated signals.
The development of the electrical phenotype of neurons can be precisely quantified and dissected using a combination of multi-variate statistical analyses and a systematic electrophysiological characterization of electrical properties.