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MRC2020: improvements to Ximdisp and the MRC image-processing programs
The great success of single-particle electron cryo-microscopy (cryoEM) during the last decade has involved the development of powerful new computer programs and packages that guide the user along a recommended processing workflow, in which the wisdom and choices made by the developers help everyone,...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Union of Crystallography
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10478516/ https://www.ncbi.nlm.nih.gov/pubmed/37493524 http://dx.doi.org/10.1107/S2052252523006309 |
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author | Short, J. M. Palmer, C. M. Burnley, T. Winn, M. D. Zhang, Q. Venkataram Prasad, B. V. Chen, S. Crowther, R. A. Unwin, P. N. T. Henderson, R. |
author_facet | Short, J. M. Palmer, C. M. Burnley, T. Winn, M. D. Zhang, Q. Venkataram Prasad, B. V. Chen, S. Crowther, R. A. Unwin, P. N. T. Henderson, R. |
author_sort | Short, J. M. |
collection | PubMed |
description | The great success of single-particle electron cryo-microscopy (cryoEM) during the last decade has involved the development of powerful new computer programs and packages that guide the user along a recommended processing workflow, in which the wisdom and choices made by the developers help everyone, especially new users, to obtain excellent results. The ability to carry out novel, non-standard or unusual combinations of image-processing steps is sometimes compromised by the convenience of a standard procedure. Some of the older programs were written with great flexibility and are still very valuable. Among these, the original MRC image-processing programs for structure determination by 2D crystal and helical processing alongside general-purpose utility programs such as Ximdisp, label, imedit and twofile are still available. This work describes an updated version of the MRC software package (MRC2020) that is freely available from CCP-EM. It includes new features and improvements such as extensions to the MRC format that retain the versatility of the package and make it particularly useful for testing novel computational procedures in cryoEM. |
format | Online Article Text |
id | pubmed-10478516 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | International Union of Crystallography |
record_format | MEDLINE/PubMed |
spelling | pubmed-104785162023-09-06 MRC2020: improvements to Ximdisp and the MRC image-processing programs Short, J. M. Palmer, C. M. Burnley, T. Winn, M. D. Zhang, Q. Venkataram Prasad, B. V. Chen, S. Crowther, R. A. Unwin, P. N. T. Henderson, R. IUCrJ Research Papers The great success of single-particle electron cryo-microscopy (cryoEM) during the last decade has involved the development of powerful new computer programs and packages that guide the user along a recommended processing workflow, in which the wisdom and choices made by the developers help everyone, especially new users, to obtain excellent results. The ability to carry out novel, non-standard or unusual combinations of image-processing steps is sometimes compromised by the convenience of a standard procedure. Some of the older programs were written with great flexibility and are still very valuable. Among these, the original MRC image-processing programs for structure determination by 2D crystal and helical processing alongside general-purpose utility programs such as Ximdisp, label, imedit and twofile are still available. This work describes an updated version of the MRC software package (MRC2020) that is freely available from CCP-EM. It includes new features and improvements such as extensions to the MRC format that retain the versatility of the package and make it particularly useful for testing novel computational procedures in cryoEM. International Union of Crystallography 2023-07-26 /pmc/articles/PMC10478516/ /pubmed/37493524 http://dx.doi.org/10.1107/S2052252523006309 Text en © Jude Short et al. 2023 https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution (CC-BY) Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited. |
spellingShingle | Research Papers Short, J. M. Palmer, C. M. Burnley, T. Winn, M. D. Zhang, Q. Venkataram Prasad, B. V. Chen, S. Crowther, R. A. Unwin, P. N. T. Henderson, R. MRC2020: improvements to Ximdisp and the MRC image-processing programs |
title |
MRC2020: improvements to Ximdisp and the MRC image-processing programs |
title_full |
MRC2020: improvements to Ximdisp and the MRC image-processing programs |
title_fullStr |
MRC2020: improvements to Ximdisp and the MRC image-processing programs |
title_full_unstemmed |
MRC2020: improvements to Ximdisp and the MRC image-processing programs |
title_short |
MRC2020: improvements to Ximdisp and the MRC image-processing programs |
title_sort | mrc2020: improvements to ximdisp and the mrc image-processing programs |
topic | Research Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10478516/ https://www.ncbi.nlm.nih.gov/pubmed/37493524 http://dx.doi.org/10.1107/S2052252523006309 |
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