Biobox: a toolbox for biomolecular modelling
<br><strong>Motivation<br></strong> The implementation of biomolecular modelling methods and analyses can be cumbersome, often carried out with in-house software reimplementing common tasks, and requiring the integration of diverse software libraries. <br><strong>...
| Main Authors: | , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Oxford University Press
2021
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| _version_ | 1797089440913424384 |
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| author | Rudden, LSP Musson, SC Benesch, JLP Degiacomi, MT |
| author_facet | Rudden, LSP Musson, SC Benesch, JLP Degiacomi, MT |
| author_sort | Rudden, LSP |
| collection | OXFORD |
| description | <br><strong>Motivation<br></strong>
The implementation of biomolecular modelling methods and analyses can be cumbersome, often carried out with in-house software reimplementing common tasks, and requiring the integration of diverse software libraries.
<br><strong>
Results<br></strong>
We present Biobox, a Python-based toolbox facilitating the implementation of biomolecular modelling methods.
<br><strong>
Availability and implementation<br></strong>
Biobox is freely available on https://github.com/degiacom/biobox, along with its API and interactive Jupyter notebook tutorials. |
| first_indexed | 2024-03-07T03:04:12Z |
| format | Journal article |
| id | oxford-uuid:b1f499c8-6291-421c-ad0a-b7a7380ae150 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T03:04:12Z |
| publishDate | 2021 |
| publisher | Oxford University Press |
| record_format | dspace |
| spelling | oxford-uuid:b1f499c8-6291-421c-ad0a-b7a7380ae1502022-03-27T04:08:04ZBiobox: a toolbox for biomolecular modellingJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:b1f499c8-6291-421c-ad0a-b7a7380ae150EnglishSymplectic ElementsOxford University Press2021Rudden, LSPMusson, SCBenesch, JLPDegiacomi, MT<br><strong>Motivation<br></strong> The implementation of biomolecular modelling methods and analyses can be cumbersome, often carried out with in-house software reimplementing common tasks, and requiring the integration of diverse software libraries. <br><strong> Results<br></strong> We present Biobox, a Python-based toolbox facilitating the implementation of biomolecular modelling methods. <br><strong> Availability and implementation<br></strong> Biobox is freely available on https://github.com/degiacom/biobox, along with its API and interactive Jupyter notebook tutorials. |
| spellingShingle | Rudden, LSP Musson, SC Benesch, JLP Degiacomi, MT Biobox: a toolbox for biomolecular modelling |
| title | Biobox: a toolbox for biomolecular modelling |
| title_full | Biobox: a toolbox for biomolecular modelling |
| title_fullStr | Biobox: a toolbox for biomolecular modelling |
| title_full_unstemmed | Biobox: a toolbox for biomolecular modelling |
| title_short | Biobox: a toolbox for biomolecular modelling |
| title_sort | biobox a toolbox for biomolecular modelling |
| work_keys_str_mv | AT ruddenlsp bioboxatoolboxforbiomolecularmodelling AT mussonsc bioboxatoolboxforbiomolecularmodelling AT beneschjlp bioboxatoolboxforbiomolecularmodelling AT degiacomimt bioboxatoolboxforbiomolecularmodelling |