Ten popular spike sorting codes are reproducibly benchmarked for accuracy on electrophysiology datasets from eleven laboratories with interactive web-based exploration of thousands of ground-truth units.
A comparison of different bioimage analysis pipelines reveals how deep learning can be used for automatized and reliable analysis of fluorescent features in biological datasets.
Convolutional neural networks and graph partitioning algorithms can be combined into an easy-to-use tool for segmentation of cells in dense plant tissue volumes imaged with light microscopy.
Genetic and biochemical analysis reveal a variant in HSF2BP causing POI and C19ORF57/BRME1 as an interactor and stabilizer of HSF2BP by forming a complex with BRCA2, RAD51, RPA and PALB2.
An open-source user-friendly toolbox implementing machine learning for single-molecule FRET analysis enabling experts and non-experts to reproducibly provide dynamic structural biology insights.
The stdpopsim library, a community-driven open source project, is presented which provides easy access to a standard catalog of published simulation models for population genetics aimed at field-wide standardization.
Animals work in a world full of surprises, where using energy to position sensors proportional to the location's expected information avoids the pitfalls of positioning them at the information maxima.