Lucas S.P. Rudden
Biobox: a toolbox for biomolecular modelling
Rudden, Lucas S.P.; Musson, Samuel C.; Benesch, Justin L.P.; Degiacomi, Matteo T.
Authors
Sam Musson samuel.musson@durham.ac.uk
PGR Student Doctor of Philosophy
Justin L.P. Benesch
Dr Matteo Degiacomi matteo.t.degiacomi@durham.ac.uk
Associate Professor
Abstract
Motivation The implementation of biomolecular modelling methods and analyses can be cumbersome, often carried out with in-house software re-implementing common tasks, and requiring the integration of diverse software libraries. Results We present Biobox, a Python-based toolbox facilitating the implementation of biomolecular modelling methods. Availability Biobox is freely available on https://github.com/degiacom/biobox, along with its API and interactive Jupyter notebook tutorials.
Citation
Rudden, L. S., Musson, S. C., Benesch, J. L., & Degiacomi, M. T. (2022). Biobox: a toolbox for biomolecular modelling. Bioinformatics, 38(4), 1149-1151. https://doi.org/10.1093/bioinformatics/btab785
| Journal Article Type | Article |
|---|---|
| Acceptance Date | Nov 11, 2021 |
| Online Publication Date | Nov 15, 2021 |
| Publication Date | Feb 15, 2022 |
| Deposit Date | Nov 16, 2021 |
| Publicly Available Date | Nov 17, 2021 |
| Journal | Bioinformatics |
| Print ISSN | 1367-4803 |
| Electronic ISSN | 1460-2059 |
| Publisher | Oxford University Press |
| Peer Reviewed | Peer Reviewed |
| Volume | 38 |
| Issue | 4 |
| Pages | 1149-1151 |
| DOI | https://doi.org/10.1093/bioinformatics/btab785 |
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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
Copyright Statement
© The Author(s) 2021. Published by Oxford University Press.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
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