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Quantitative Mining of Compositional Heterogeneity in Cryo-EM Datasets of Ribosome Assembly Intermediates
View ORCID ProfileJessica N. Rabuck-Gibbons, View ORCID ProfileDmitry Lyumkis, View ORCID ProfileJames R. Williamson
doi: https://doi.org/10.1101/2021.06.23.449614
Jessica N. Rabuck-Gibbons
1Department of Integrative Structural and Computational Biology, Department of Chemistry, and The Skaggs Institute for Chemical Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
Dmitry Lyumkis
1Department of Integrative Structural and Computational Biology, Department of Chemistry, and The Skaggs Institute for Chemical Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
2Laboratory of Genetics and Helmsley Center for Genomic Medicine, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA
James R. Williamson
1Department of Integrative Structural and Computational Biology, Department of Chemistry, and The Skaggs Institute for Chemical Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
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Posted June 24, 2021.
Quantitative Mining of Compositional Heterogeneity in Cryo-EM Datasets of Ribosome Assembly Intermediates
Jessica N. Rabuck-Gibbons, Dmitry Lyumkis, James R. Williamson
bioRxiv 2021.06.23.449614; doi: https://doi.org/10.1101/2021.06.23.449614
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