JIMÉNEZ DE LA MORENA, Jorge, Pablo CONESA, Yunior FONSECA, Federico DE ISIDRO-GÓMEZ, David HERREROS, Estrella FERNÁNDEZ-GIMÉNEZ, David STŘELÁK, Emmanuel MOEBEL, Tim-Oliver BUCHHOLZ, Florian JUG, Antonio MARTINEZ-SANCHEZ, Mohamad HARASTANI, Slavica JONIC, Jose CONESA, Ana CUERVO, Patricia LOSANA, Irene SÁNCHEZ, Mikel ICETA, Laura DEL CANO, Marcos GRAGERA, Roberto MELERO, Grigori SHAROV, Daniel CASTAÑO-DÍEZ, Aart KOSTER, Jonathan PICCIRILLO, Jose Luis VILAS, Joaqin OTÓN, Roberto MARABINI, Carlos Oscar SANCHEZ SORZANO and Jose Maria CARAZO. ScipionTomo: Towards cryo-electron tomography software integration, reproducibility, and validation. Journal of Structural Biology. Elsevier, 2022, vol. 214, No 3, p. 1-14. ISSN 1047-8477. Available from: https://dx.doi.org/10.1016/j.jsb.2022.107872.
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Basic information
Original name ScipionTomo: Towards cryo-electron tomography software integration, reproducibility, and validation
Authors JIMÉNEZ DE LA MORENA, Jorge, Pablo CONESA, Yunior FONSECA, Federico DE ISIDRO-GÓMEZ, David HERREROS, Estrella FERNÁNDEZ-GIMÉNEZ, David STŘELÁK (203 Czech Republic, guarantor, belonging to the institution), Emmanuel MOEBEL, Tim-Oliver BUCHHOLZ, Florian JUG, Antonio MARTINEZ-SANCHEZ, Mohamad HARASTANI, Slavica JONIC, Jose CONESA, Ana CUERVO, Patricia LOSANA, Irene SÁNCHEZ, Mikel ICETA, Laura DEL CANO, Marcos GRAGERA, Roberto MELERO, Grigori SHAROV, Daniel CASTAÑO-DÍEZ, Aart KOSTER, Jonathan PICCIRILLO, Jose Luis VILAS, Joaqin OTÓN, Roberto MARABINI, Carlos Oscar SANCHEZ SORZANO and Jose Maria CARAZO.
Edition Journal of Structural Biology, Elsevier, 2022, 1047-8477.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Netherlands
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 3.000
RIV identification code RIV/00216224:14330/22:00125969
Organization unit Faculty of Informatics
Doi http://dx.doi.org/10.1016/j.jsb.2022.107872
UT WoS 000823355700001
Keywords in English ELECTRONRECONSTRUCTIONRESOLUTIONALIGNMENT
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 6/4/2023 11:13.
Abstract
Image processing in cryogenic electron tomography (cryoET) is currently at a similar state as Single Particle Analysis (SPA) in cryogenic electron microscopy (cryoEM) was a few years ago. Its data processing workflows are far from being well defined and the user experience is still not smooth. Moreover, file formats of different software packages and their associated metadata are not standardized, mainly since different packages are developed by different groups, focusing on different steps of the data processing pipeline. The Scipion framework, originally developed for SPA (de la Rosa-Trevín et al., 2016), has a generic python workflow engine that gives it the versatility to be extended to other fields, as demonstrated for model building (Martínez et al., 2020). In this article, we provide an extension of Scipion based on a set of tomography plugins (referred to as ScipionTomo hereafter), with a similar purpose: to allow users to be focused on the data processing and analysis instead of having to deal with multiple software installation issues and the inconvenience of switching from one to another, converting metadata files, managing possible incompatibilities, scripting (writing a simple program in a language that the computer must convert to machine language each time the program is run), etcetera. Additionally, having all the software available in an integrated platform allows comparing the results of different algorithms trying to solve the same problem. In this way, the commonalities and differences between estimated parameters shed light on which results can be more trusted than others. ScipionTomo is developed by a collaborative multidisciplinary team composed of Scipion team engineers, structural biologists, and in some cases, the developers whose software packages have been integrated. It is open to anyone in the field willing to contribute to this project. The result is a framework extension that combines the acquired knowledge of Scipion developers in close collaboration with third-party developers, and the on-demand design of functionalities requested by beta testers applying this solution to actual biological problems.
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