Each month, the Nature Methods editors get together to survey and discuss the methods literature, so that we can select candidates for the Research Highlights and In Brief section. Unfortunately, we can't highlight all the papers we are excited about. Here is a selection of additional recent papers that we thought might interest our readers.
Jaganathan, K. et al. Predicted splicing from primary sequence with deep learning
A deep learning-based tool, SpliceAI, predicts splice junctions from pre-mRNA transcript sequences.
Engineered, iron-based catalytic proteins functionalize diverse substrates through a C-H alkylation mechanism.
Protein complex structures are determined using crosslinking-mass spectrometry and protein structure modeling.
3D STED with exchangeable fluorophores overcomes photobleaching-related limitations of the imaging technology.
miRFP670nano is the smallest monomeric infrared fluorescent protein and can be used for internal tagging or as a FRET donor.
Whole-chromosome oligo-FISH probes for each of the 10 chromosomes of maize can uncover aberrations and visualize dynamic behaviors of the chromosomes.
Diederich, B. et al. cellSTORM—Cost-effective super-resolution on a cellphone using dSTORM
Affordable super-resolution microscopy on a cell phone achieves 80-nm or better resolution.
Bando, Y. et al. Comparative Evaluation of Genetically Encoded Voltage Indicators
GEVIs are compared under 1-photon and 2-photon illumination in cell culture and in vivo.
A fully genetically encoded tool for visualizing gap-junction coupling is applied in cell culture and in Drosophila brains.
CaImAn provides open-source tools for pre-processing calcium imaging datasets and identifying neurons in these datasets.
Enjoy these reads!