RELION

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Category

Bioinformatics

Description

RELION (for REgularised LIkelihood OptimisatioN, pronounce rely-on) is a stand-alone computer program that employs an empirical Bayesian approach to refinement of (multiple) 3D reconstructions or 2D class averages in electron cryo-microscopy (cryo-EM). 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 is given in Scheres (2012) JMB. A more detailed description of its implementation is given in Scheres (2012) JSB.

Available versions (Euler, old software stack)

Legacy versions Supported versions New versions
1.3, 2.0.3, 2.1.b1, 3.0.0_beta

Please note that this page refers to installations from the old software stack. There are two software stacks on Euler. Newer versions of software are found in the new software stack.

Environment modules (Euler, old software stack)

Version Module load command Additional modules loaded automatically
1.3 module load new gcc/4.8.2 open_mpi/1.6.5 relion/1.3
2.0.3 module load new gcc/4.8.2 open_mpi/1.6.5 fftw/3.3.3 relion/2.0.3
2.1.b1 module load new gcc/4.8.2 open_mpi/1.6.5 fftw/3.3.3 relion/2.1.b1
3.0.0_beta module load new gcc/4.8.2 open_mpi/1.6.5 relion/3.0.0_beta

Please note that this page refers to installations from the old software stack. There are two software stacks on Euler. Newer versions of software are found in the new software stack.

License information

GPLv2

Links

http://www2.mrc-lmb.cam.ac.uk/relion/index.php/Main_Page

https://github.com/jjcorreao/relion/tree/master/relion-1.3
http://www2.mrc-lmb.cam.ac.uk/groups/scheres/relion13_tutorial.pdf
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4318617
http://www.sciencedirect.com/science/article/pii/S1047847712002481