Nature Methods
Nature Methods offers a unique interdisciplinary forum for the publication of novel methods. Nature Methods focuses on the life sciences, combining practical, technique-driven subject matter with rigorous peer-review standards to ensure that readers are consistently presented with only the most valuable and highest quality methodological research. The journal offers its readers primary research papers as well as an array of opinions, reviews and short journalistic pieces to provide busy researchers with a broad, yet easily absorbed perspective of important methodological developments in the life sciences.
Dissecting how morphogens shape cell fates in human neural organoids
Carta offers a computational approach to inference of differentiation maps from cell lineages
MultiCell: geometric learning in multicellular development
Haiqian Yang
Systematic scRNA-seq screens profile neural organoid response to morphogens
Fátima Sanchís-Calleja
Computational strategies for cross-species knowledge transfer
Hao Yuan
Bio-friendly and high-precision super-resolution imaging through self-supervised reconstruction structured illumination microscopy
Jiahao Liu
Scikit-bio: a fundamental Python library for biological omic data analysis
Matthew Aton
Benchmarking algorithms for generalizable single-cell perturbation response prediction
Zhiting Wei