Home Protocols Protocols Biology-guided deep learning predicts prog- nosis and cancer immunotherapy response Accurate prediction of protein-nucleic acid complexes using RoseTTAFoldNA The Brainbox–a tool to facilitate correlation of brain magnetic resonance imaging features to histopathology Real-time analysis of the cancer genome and fragmentome from plasma and urine cell-free DNA using nanopore sequencing A flexible and versatile system for multi-color fiber photometry and optogenetic manipulation Ultrasound trapping and navigation of microrobots in the mouse brain vasculature High-fidelity 3D live-cell nanoscopy through data-driven enhanced super-resolution radial fluctuation D-LMBmap: a fully automated deep-learning pipeline for whole-brain profiling of neural circuitry Genetic manipulation of Patescibacteria provides mechanistic insights into microbial dark matter and the epibiotic lifestyle Single-nucleus RNA sequencing of developing superior colliculus identifies neuronal diversity and candidate mediators of circuit assembly Engineering RNA export for measurement and manipulation of living cells ATP production from electricity with a new-to- nature electrobiological module Labeling PIEZO2 activity in the peripheral nervous system Generative design of de novo proteins based on secondary-structure constraints using an attention-based diffusion model Proteogenomic data and resources for pan-cancer analysis CRISPR for neuroscientists Calculation of ATP production rates using the Seahorse XF Analyzer Engineered calprotectin-sensing probiotics for IBD surveillance in humans 3D surface reconstruction of cellular cryo-soft X-ray microscopy tomograms using semisupervised deep learning Protocol for generating in vitro glioma models using human-induced pluripotent- or embryonic-stem-cell-derived cerebral organoids Viewing 1 of 34