The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/55e06cd2-43cf-40d4-b2ce-ace9ce92d536

Joosten, Maarten; Greer, Joel; Parkhurst, James; Burnley, Tom; Jakobi, Arjen (2024): Data underlying the publication: Roodmus: a toolkit for benchmarking heterogeneous electron cryo-microscopy reconstructions - Roodmus_image_processing. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/55e06cd2-43cf-40d4-b2ce-ace9ce92d536.v1

Dataset

• Artificial Intelligence and Image Processing
• Biochemistry and Cell Biology
• Information and Computing Sciences
• Biological Sciences

biological macromolecules, conformational trajectories, cryo-EM, heterogeneous reconstruction algorithms, molecular dynamics simulations, single-particle averaging

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Maarten Joosten , Joel Greer , James Parkhurst , Tom Burnley , Arjen Jakobi

Introduction

data underlying the publication Roodmus: a toolkit for benchmarking heterogeneous electron cryo-microscopy reconstructions.

Publication DOI: https://doi.org/10.1107/S2052252524009321

Authors: M. Joosten, J. Greer, J. Parkhurst, T. Burnley, A.J. Jakobi

Description

Image processing files for all synthetic datasets associated with above-mentioned publication. Processing for most datasets was done in RELION4.0 through doppio 1.0. Output files for key jobs are provided, as well as default_pipeline.star allowing the project to be imported into doppio. Datasets 6xm5_steered and c3c3b were processed in CryoSPARC version 4.2.1. Output files for key jobs are provided.

• 2024-10-14 first online, published, posted

4TU.ResearchData

.star and .cs metadata files from RELION and CryoSPARC respectively. .mrc 3D-volume files and miscellaneous formats associated

Roodmus: A toolkit for benchmarking heterogeneous electron cryo-microscopy reconstructions

• https://doi.org/10.5281/zenodo.10258256
• https://zenodo.org/doi/10.5281/zenodo.4779588
• https://doi.org/10.2210/pdb6XM4/pdb
• https://doi.org/10.2210/pdb6XM5/pdb
• https://openmm.org/

• TU Delft AI Labs Initiative
• MRC Partnership Grant (grant code MR/V000403/1) [more info...] MRC
• EPSRC grant (grant code EP/W006022/1) [more info...] EPSRC
• Ada Lovelace Centre [more info...] Ada Lovelace Centre – STFC

Kavli Institute of Nanoscience, Department of Bionanosciene, Delft University of Technology
Science & Technology Facilities Council
Rosalind Franklin Institute
Diamond Light Source