RELION

RELION: Implementation of a Bayesian approach to cryo-EM structure determination. RELION, for REgularized LIkelihood OptimizatioN, is an open-source computer program for the refinement of macromolecular structures by single-particle analysis of electron cryo-microscopy (cryo-EM) data. Whereas alternative approaches often rely on user expertise for the tuning of parameters, RELION uses a Bayesian approach to infer parameters of a statistical model from the data. This paper describes developments that reduce the computational costs of the underlying maximum a posteriori (MAP) algorithm, as well as statistical considerations that yield new insights into the accuracy with which the relative orientations of individual particles may be determined. A so-called gold-standard Fourier shell correlation (FSC) procedure to prevent overfitting is also described. The resulting implementation yields high-quality reconstructions and reliable resolution estimates with minimal user intervention and at acceptable computational costs.


References in zbMATH (referenced in 19 articles )

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  1. Bendory, Tamir; Edidin, Dan; Kreymer, Shay: Signal recovery from a few linear measurements of its high-order spectra (2022)
  2. Aizenbud, Yariv; Landa, Boris; Shkolnisky, Yoel: Rank-one multi-reference factor analysis (2021)
  3. Heimowitz, Ayelet; Sharon, Nir; Singer, Amit: Centering noisy images with application to cryo-EM (2021)
  4. Kadu, Ajinkya; van Leeuwen, Tristan; Batenburg, K. Joost: CoShaRP: a convex program for single-shot tomographic shape sensing (2021)
  5. Romanov, Elad; Bendory, Tamir; Ordentlich, Or: Multi-reference alignment in high dimensions: sample complexity and phase transition (2021)
  6. Xu, Nan; Doerschuk, Peter: Computation of real-valued basis functions which transform as irreducible representations of the polyhedral groups (2021)
  7. Andén, Joakim; Romero, José Luis: Multitaper estimation on arbitrary domains (2020)
  8. Lederman, Roy R.; Andén, Joakim; Singer, Amit: Hyper-molecules: on the representation and recovery of dynamical structures for applications in flexible macro-molecules in cryo-EM (2020)
  9. Lederman, Roy R.; Singer, Amit: A representation theory perspective on simultaneous alignment and classification (2020)
  10. Moscovich, Amit; Halevi, Amit; Andén, Joakim; Singer, Amit: Cryo-EM reconstruction of continuous heterogeneity by Laplacian spectral volumes (2020)
  11. Pan, Huan; Wen, You-Wei; Zeng, Tieyong: Constrained total variation based three-dimension single particle reconstruction in cryogenic electron microscopy (2020)
  12. Rosen, Eitan; Shkolnisky, Yoel: Common lines ab initio reconstruction of (D_2)-symmetric molecules in cryo-electron microscopy (2020)
  13. Sharon, Nir; Kileel, Joe; Khoo, Yuehaw; Landa, Boris; Singer, Amit: Method of moments for 3D single particle \textitabinitio modeling with non-uniform distribution of viewing angles (2020)
  14. Zhou, Ye; Moscovich, Amit; Bendory, Tamir; Bartesaghi, Alberto: Unsupervised particle sorting for high-resolution single-particle cryo-EM (2020)
  15. Aizenbud, Yariv; Shkolnisky, Yoel: A max-cut approach to heterogeneity in cryo-electron microscopy (2019)
  16. Bendory, Tamir; Boumal, Nicolas; Leeb, William; Levin, Eitan; Singer, Amit: Multi-target detection with application to cryo-electron microscopy (2019)
  17. Andén, Joakim; Singer, Amit: Structural variability from noisy tomographic projections (2018)
  18. Barnett, Alex; Greengard, Leslie; Pataki, Andras; Spivak, Marina: Rapid solution of the cryo-EM reconstruction problem by frequency marching (2017)
  19. Xu, Guoliang; Wang, Xia; Li, Ming; Jing, Zhucui: Fast and robust orientation of cryo-electron microscopy images (2015)