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Data availability
All relevant data are available from the Sequence Read Archive database (accession number: PRJNA905717).
Code availability
All codes associated with this study have been deposited on GitHub (https://github.com/sherryxuePKU/scNanoCOOL-seq).
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Acknowledgements
This work was supported by the Basic Science Center Projects of the National Natural Science Foundation of China (32288102), and the Science and Technology Innovation “2030-Brain Science and Brain-like Research” major project (2021ZD0200102).
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F.T. conceived and supervised this project. J.L., X.X. and Y.Z. developed protocol. J.L. and Y.Z. performed experiments with help from Y.W. X.X. conducted bioinformatic analysis with assistance from H.X. and M.L. J.L., X.X. and F.T. wrote the manuscript with help from other authors.
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The authors declare no competing interests.
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Lin, J., Xue, X., Wang, Y. et al. scNanoCOOL-seq: a long-read single-cell sequencing method for multi-omics profiling within individual cells. Cell Res 33, 879–882 (2023). https://doi.org/10.1038/s41422-023-00873-5
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DOI: https://doi.org/10.1038/s41422-023-00873-5