Difference between revisions of "RELION"
Moskalenko (talk | contribs) m (Text replacement - "#uppercase" to "uc") |
Moskalenko (talk | contribs) |
||
| (3 intermediate revisions by 2 users not shown) | |||
| Line 1: | Line 1: | ||
| − | [[Category:Software]][[Category:Biology]][[Category: | + | [[Category:Software]][[Category:Biology]][[Category:Imaging]] |
{|<!--CONFIGURATION: REQUIRED--> | {|<!--CONFIGURATION: REQUIRED--> | ||
|{{#vardefine:app|relion}} | |{{#vardefine:app|relion}} | ||
| Line 5: | Line 5: | ||
<!--CONFIGURATION: OPTIONAL (|1}} means it's ON)--> | <!--CONFIGURATION: OPTIONAL (|1}} means it's ON)--> | ||
|{{#vardefine:conf|}} <!--CONFIGURATION--> | |{{#vardefine:conf|}} <!--CONFIGURATION--> | ||
| − | |{{#vardefine:exe| | + | |{{#vardefine:exe|}} <!--ADDITIONAL INFO--> |
|{{#vardefine:pbs|}} <!--PBS SCRIPTS--> | |{{#vardefine:pbs|}} <!--PBS SCRIPTS--> | ||
|{{#vardefine:policy|}} <!--POLICY--> | |{{#vardefine:policy|}} <!--POLICY--> | ||
| Line 21: | Line 21: | ||
<!--Modules--> | <!--Modules--> | ||
| − | == | + | ==Environment Modules== |
| − | + | Run <code>module spider {{#var:app}}</code> to find out what environment modules are available for this application. | |
| − | |||
| − | |||
| − | |||
| − | < | ||
| − | |||
==System Variables== | ==System Variables== | ||
* HPC_{{uc:{{#var:app}}}}_DIR - installation directory | * HPC_{{uc:{{#var:app}}}}_DIR - installation directory | ||
| Line 36: | Line 31: | ||
<!--Run--> | <!--Run--> | ||
{{#if: {{#var: exe}}|==Additional Information== | {{#if: {{#var: exe}}|==Additional Information== | ||
| − | |||
| − | |||
| − | |||
|}} | |}} | ||
Latest revision as of 03:29, 16 May 2024
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.
Environment Modules
Run module spider relion to find out what environment modules are available for this application.
System Variables
- HPC_RELION_DIR - installation directory
Citation
If you publish research that uses relion you have to cite it as follows:
RELION: Implementation of a Bayesian approach to cryo-EM structure determination