RELION pipeline

RELION specifications

Information


Unique identifier OMICS_15597
Name RELION
Alternative name REgularised LIkelihood OptimisatioN
Software type Application/Script
Interface Graphical user interface
Restrictions to use None
Operating system Unix/Linux
Programming languages C++
License GNU General Public License version 2.0
Computer skills Medium
Version 2.0
Stability Stable
Maintained Yes

Download


Versioning


Add your version

Maintainer


  • person_outline Sjors Scheres <>

Publication for REgularised LIkelihood OptimisatioN

RELION citations

 (14)
2018
PMCID: 5842316

[…] of each micrograph were estimated with ctffind4 (rohou and grigorieff, 2015). in a first step, ∼20,000 particles were picked with the semi-automated swarm method using eman2 (tang et al., 2007). relion (scheres, 2012) was used for the image processing workflow unless stated otherwise. reference-free 2d classes were generated, five of which were used for template-based auto-picking […]

2017
PMCID: 5392032

[…] were interactively selected using e2boxer.py (25). two-dimensional and 3d classifications were performed on a binned data set with a pixel size of 2 å and a box size of 128 × 128 pixels using relion 1.3 (26). in the first step, a rough 3d map was generated ab initio by e2initial.py (25) using the 2d class averages as input and without enforcing any symmetry (step 1, fig. s3). particle […]

2017
PMCID: 5497076

[…] resemblance to the structure of hgb (fig. 1c). class averages were selected for initial model building in eman2 (ref. 15) using the common-line technique and taking advantage of the c2 symmetry. relion16 three-dimensional (3d) classification and refinement using half-split data sets of particles yielded the final map (figs 1d and 2). the obtained 3d reconstruction had a resolution of 3.2 å, […]

2017
PMCID: 5517150

[…] of the eman-2 package (ludtke et al., 1999). subsequent image processing included ctf-correction, particle extraction, 3d classification, 3d refinement and b-factor sharpening and was performed in relion-2.0 (he and scheres, 2017). in brief, each filament was subdivided into boxes of 200 × 200 pixels in size at an offset of 10 å, resulting in 74,823 overlapping segments. next, a 3d consensus […]

2017
PMCID: 5552202

[…] micrographs were then used to estimate the contrast transfer function (ctf) using gctf52. all subsequent image-processing steps were performed using helical reconstruction methods in relion 2.021., filaments were picked manually, and segments were extracted using a box size of 280 å and an inter-box distance of ~10% (30 å) of the box length. reference-free 2d classification […]

RELION institution(s)
MRC Laboratory of Molecular Biology, Cambridge, UK
RELION funding source(s)
This work was funded by the UK Medical Research Council through grant MC_UP_A025_1013.

RELION reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review RELION