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RELION (for '''RE'''gularised '''LI'''kelihood '''O'''ptimisatio'''N''') is a stand-alone computer program for ''Maximum A Posteriori'' (MAP) refinement of (multiple) 3D reconstructions or 2D class averages in cryo-electron microscopy. It is developed in the research group of [http://www2.mrc-lmb.cam.ac.uk/groups/scheres/ Sjors Scheres] at the [http://www2.mrc-lmb.cam.ac.uk MRC Laboratory of Molecular Biology]. Briefly, the ill-posed problem of 3D-reconstruction is regularised by '''incorporating prior knowledge''': the fact that macromolecular structures are smooth, i.e. they have limited power in the Fourier domain. Bayes' law uniquely determines how prior knowledge and experimental data are to be combined so that '''overfitting is reduced''', and the optimal linear filter may be derived from the data '''without the need for arbitrary decisions''' or user expertise.
RELION (for '''RE'''gularised '''LI'''kelihood '''O'''ptimisatio'''N''') is a stand-alone computer program for ''Maximum A Posteriori'' (MAP) refinement of (multiple) 3D reconstructions or 2D class averages in cryo-electron microscopy. It is developed in the research group of [http://www2.mrc-lmb.cam.ac.uk/groups/scheres/ Sjors Scheres] at the [http://www2.mrc-lmb.cam.ac.uk MRC Laboratory of Molecular Biology]. Briefly, the ill-posed problem of 3D-reconstruction is regularised by incorporating prior knowledge: the fact that macromolecular structures are smooth, i.e. they have limited power in the Fourier domain. Bayes' law uniquely determines how prior knowledge and experimental data are to be combined so that many key parameters are iteratively learned from the data themselves, so that the need for tuning arbitray parameters by an expert user is strongly reduced compared to other programs in the field.


The underlying theory of MAP refinement is given in [http://dx.doi.org/10.1016/j.jmb.2011.11.010 Scheres (2011) JMB]. If RELION is useful in your work, please cite this paper.
The underlying theory of MAP refinement is given in [http://dx.doi.org/10.1016/j.jmb.2011.11.010 Scheres (2011) JMB]. If RELION is useful in your work, please cite this paper.

Revision as of 12:02, 19 July 2012

RELION (for REgularised LIkelihood OptimisatioN) is a stand-alone computer program for Maximum A Posteriori (MAP) refinement of (multiple) 3D reconstructions or 2D class averages in cryo-electron microscopy. It is developed in the research group of Sjors Scheres at the MRC Laboratory of Molecular Biology. Briefly, the ill-posed problem of 3D-reconstruction is regularised by incorporating prior knowledge: the fact that macromolecular structures are smooth, i.e. they have limited power in the Fourier domain. Bayes' law uniquely determines how prior knowledge and experimental data are to be combined so that many key parameters are iteratively learned from the data themselves, so that the need for tuning arbitray parameters by an expert user is strongly reduced compared to other programs in the field.

The underlying theory of MAP refinement is given in Scheres (2011) JMB. If RELION is useful in your work, please cite this paper.

Note that this page is under construction and may already reflect some changes related to the soon-to-be-released version 1.1. Contact Sjors if you'd like to beta-test this release.

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