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* [[Calculate 2D class averages]] | * [[Calculate 2D class averages]] | ||
* [[Classify 3D structural heterogeneity]] | * [[Classify 3D structural heterogeneity]] | ||
* [[Refine a structure to high-resolution]] | * [[Refine a 3D structure to high-resolution]] | ||
* [[Analyse results]] | * [[Analyse results]] | ||
* [[Minimise computational costs]] | * [[Minimise computational costs]] | ||
Revision as of 12:40, 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 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. In the corresponding Bayesian framework, many parameters of a statistical model are learned from the data, which leads to objective and high-quality results without the need for user expertise. 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 these pages are currently under being modified to reflect changes related to the soon-to-be-released version 1.1. Contact Sjors if you'd like to beta-test this release.
Getting started
- Download & install
- Conventions & File formats
- Running RELION
- A fully-guided 3D-Classification example
- Useful tricks and FAQs
How To
- Prepare input files
- Calculate 2D class averages
- Classify 3D structural heterogeneity
- Refine a 3D structure to high-resolution
- Analyse results
- Minimise computational costs