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Merging NMR Data and Computation Facilitates Data-Centered Research
The Biological Magnetic Resonance Data Bank (BMRB) has served the NMR structural biology community for 40 years, and has been instrumental in the development of many widely-used tools. It fosters the reuse of data resources in structural biology by embodying the FAIR data principles (Findable, Acces...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8802229/ https://www.ncbi.nlm.nih.gov/pubmed/35111815 http://dx.doi.org/10.3389/fmolb.2021.817175 |
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author | Baskaran, Kumaran Craft, D. Levi Eghbalnia, Hamid R. Gryk, Michael R. Hoch, Jeffrey C. Maciejewski, Mark W. Schuyler, Adam D. Wedell, Jonathan R. Wilburn, Colin W. |
author_facet | Baskaran, Kumaran Craft, D. Levi Eghbalnia, Hamid R. Gryk, Michael R. Hoch, Jeffrey C. Maciejewski, Mark W. Schuyler, Adam D. Wedell, Jonathan R. Wilburn, Colin W. |
author_sort | Baskaran, Kumaran |
collection | PubMed |
description | The Biological Magnetic Resonance Data Bank (BMRB) has served the NMR structural biology community for 40 years, and has been instrumental in the development of many widely-used tools. It fosters the reuse of data resources in structural biology by embodying the FAIR data principles (Findable, Accessible, Inter-operable, and Re-usable). NMRbox is less than a decade old, but complements BMRB by providing NMR software and high-performance computing resources, facilitating the reuse of software resources. BMRB and NMRbox both facilitate reproducible research. NMRbox also fosters the development and deployment of complex meta-software. Combining BMRB and NMRbox helps speed and simplify workflows that utilize BMRB, and enables facile federation of BMRB with other data repositories. Utilization of BMRB and NMRbox in tandem will enable additional advances, such as machine learning, that are poised to become increasingly powerful. |
format | Online Article Text |
id | pubmed-8802229 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88022292022-02-01 Merging NMR Data and Computation Facilitates Data-Centered Research Baskaran, Kumaran Craft, D. Levi Eghbalnia, Hamid R. Gryk, Michael R. Hoch, Jeffrey C. Maciejewski, Mark W. Schuyler, Adam D. Wedell, Jonathan R. Wilburn, Colin W. Front Mol Biosci Molecular Biosciences The Biological Magnetic Resonance Data Bank (BMRB) has served the NMR structural biology community for 40 years, and has been instrumental in the development of many widely-used tools. It fosters the reuse of data resources in structural biology by embodying the FAIR data principles (Findable, Accessible, Inter-operable, and Re-usable). NMRbox is less than a decade old, but complements BMRB by providing NMR software and high-performance computing resources, facilitating the reuse of software resources. BMRB and NMRbox both facilitate reproducible research. NMRbox also fosters the development and deployment of complex meta-software. Combining BMRB and NMRbox helps speed and simplify workflows that utilize BMRB, and enables facile federation of BMRB with other data repositories. Utilization of BMRB and NMRbox in tandem will enable additional advances, such as machine learning, that are poised to become increasingly powerful. Frontiers Media S.A. 2022-01-17 /pmc/articles/PMC8802229/ /pubmed/35111815 http://dx.doi.org/10.3389/fmolb.2021.817175 Text en Copyright © 2022 Baskaran, Craft, Eghbalnia, Gryk, Hoch, Maciejewski, Schuyler, Wedell and Wilburn. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Molecular Biosciences Baskaran, Kumaran Craft, D. Levi Eghbalnia, Hamid R. Gryk, Michael R. Hoch, Jeffrey C. Maciejewski, Mark W. Schuyler, Adam D. Wedell, Jonathan R. Wilburn, Colin W. Merging NMR Data and Computation Facilitates Data-Centered Research |
title | Merging NMR Data and Computation Facilitates Data-Centered Research |
title_full | Merging NMR Data and Computation Facilitates Data-Centered Research |
title_fullStr | Merging NMR Data and Computation Facilitates Data-Centered Research |
title_full_unstemmed | Merging NMR Data and Computation Facilitates Data-Centered Research |
title_short | Merging NMR Data and Computation Facilitates Data-Centered Research |
title_sort | merging nmr data and computation facilitates data-centered research |
topic | Molecular Biosciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8802229/ https://www.ncbi.nlm.nih.gov/pubmed/35111815 http://dx.doi.org/10.3389/fmolb.2021.817175 |
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