4.4 Article

ScipionTomo: Towards cryo-electron tomography software integration, reproducibility, and validation

Journal

JOURNAL OF STRUCTURAL BIOLOGY
Volume 214, Issue 3, Pages -

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jsb.2022.107872

Keywords

-

Funding

  1. MICINN
  2. European Union
  3. French National Research Agency-ANR [PID2019-104757RB-I00, MCIN/AEI/10.13039/501100011033/]
  4. Sorbonne University [100010434, S2017/BMD-3817]
  5. GENCI [713673, 810057]
  6. la Caixa Foundation
  7. Comunidad Autonoma de Madrid [ANR-20-CE11-0020-03, ANR-19-CE11-0008-01, A0100710998, A0070710998]
  8. EOSC Life [AP010712190, AD011012188]
  9. Swiss National Science Foundation [LCF/BQ/DI18/11660021]
  10. Human Frontiers of Science Program [824087]
  11. [205321 179041]
  12. [RGP0017/2020]

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This article introduces the extension of Scipion framework, called ScipionTomo, aiming to simplify image processing and analysis in cryogenic electron tomography. Developed by a collaborative multidisciplinary team, it combines the knowledge of Scipion developers with functionalities requested by beta testers and integrates third-party software packages.
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-Trevin 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 (Martinez 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 com-monalities 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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