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Nature Methods|August 26, 2025
DeepMVP: deep learning models trained on high-quality data accurately predict PTM sites and variant-induced alterationsBo Wen, Chenwei Wang, Kai Li, et al.Nature Methods|April 15, 2020
Scanless two-photon excitation with temporal focusingEirini Papagiakoumou, Emiliano Ronzitti, Valentina EmilianiNature Methods|October 27, 2019
Publisher Correction: Nuclear pores as versatile reference standards for quantitative superresolution microscopyJervis Vermal Thevathasan, Maurice Kahnwald, Konstanty Cieśliński, et al.Nature Methods|October 23, 2019
Unified rational protein engineering with sequence-based deep representation learningEthan C Alley, Grigory Khimulya, Surojit Biswas, et al.Nature Methods|August 31, 2021
High-speed, cortex-wide volumetric recording of neuroactivity at cellular resolution using light beads microscopyJeffrey Demas, Jason Manley, Frank Tejera, et al.Nature Methods|August 31, 2021
LIVECell-A large-scale dataset for label-free live cell segmentationChristoffer Edlund, Timothy R Jackson, Nabeel Khalid, et al.Nature Methods|June 17, 2020
Highly specific multiplexed RNA imaging in tissues with split-FISHJolene Jie Lin Goh, Nigel Chou, Wan Yi Seow, et al.Nature Methods|August 16, 2016
DSBCapture: in situ capture and sequencing of DNA breaksStefanie V Lensing, Giovanni Marsico, Robert Hänsel-Hertsch, et al.Nature Methods|October 24, 2019
Author Correction: Molecular resolution imaging by repetitive optical selective exposureLusheng Gu, Yuanyuan Li, Shuwen Zhang, et al.Nature Methods|June 9, 2015
Homology modeling of larger proteins guided by chemical shiftsYang Shen, Ad BaxPageof 339