Rudden, Lucas S. P. and Musson, Samuel C. and Benesch, Justin L. P. and Degiacomi, Matteo T. (2022) 'Biobox: a toolbox for biomolecular modelling.', Bioinformatics, 38 (4). pp. 1149-1151.
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.
|Full text:||(AM) Accepted Manuscript|
Available under License - Creative Commons Attribution 4.0.
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|Publisher Web site:||https://doi.org/10.1093/bioinformatics/btab785|
|Publisher 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.|
|Date accepted:||11 November 2021|
|Date deposited:||17 November 2021|
|Date of first online publication:||15 November 2021|
|Date first made open access:||17 November 2021|
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