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An optogenetic strategy enables selection of proteases with improved catalytic rates. The developed TEV protease variants are well suited for biotechnology applications, including FLARE assays with substantially improved temporal resolution.
Wtdbg2 assembles genomes with comparable contiguity and accuracy to existing tools using long-read sequencing data, and is several times faster, especially for large genomes.
MaSIF, a deep learning-based method, finds common patterns of chemical and geometric features on biomolecular surfaces for predicting protein–ligand and protein–protein interactions.
SIMFLUX combines elements of MINFLUX with structured illumination to double localization precision and improve resolution in localization microscopy. The approach was demonstrated on DNA origami and on cellular microtubules.
NicheNet uses expression data, in combination with a previous model built on known signaling and gene regulatory networks, to predict ligand–target links in cell-to-cell communications.
This Perspective highlights open-source software for single-cell analysis released as part of the Bioconductor project, providing an overview for users and developers.
An adaptive excitation source enables two- and three-photon imaging of the awake mouse brain with high spatial and temporal resolution at 30-fold-reduced laser power relative to conventional approaches.