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ProteomicsDB: toward a FAIR open-source resource for life-science research
ProteomicsDB (https://www.ProteomicsDB.org) is a multi-omics and multi-organism resource for life science research. In this update, we present our efforts to continuously develop and expand ProteomicsDB. The major focus over the last two years was improving the findability, accessibility, interopera...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8728203/ https://www.ncbi.nlm.nih.gov/pubmed/34791421 http://dx.doi.org/10.1093/nar/gkab1026 |
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author | Lautenbacher, Ludwig Samaras, Patroklos Muller, Julian Grafberger, Andreas Shraideh, Marwin Rank, Johannes Fuchs, Simon T Schmidt, Tobias K The, Matthew Dallago, Christian Wittges, Holger Rost, Burkhard Krcmar, Helmut Kuster, Bernhard Wilhelm, Mathias |
author_facet | Lautenbacher, Ludwig Samaras, Patroklos Muller, Julian Grafberger, Andreas Shraideh, Marwin Rank, Johannes Fuchs, Simon T Schmidt, Tobias K The, Matthew Dallago, Christian Wittges, Holger Rost, Burkhard Krcmar, Helmut Kuster, Bernhard Wilhelm, Mathias |
author_sort | Lautenbacher, Ludwig |
collection | PubMed |
description | ProteomicsDB (https://www.ProteomicsDB.org) is a multi-omics and multi-organism resource for life science research. In this update, we present our efforts to continuously develop and expand ProteomicsDB. The major focus over the last two years was improving the findability, accessibility, interoperability and reusability (FAIR) of the data as well as its implementation. For this purpose, we release a new application programming interface (API) that provides systematic access to essentially all data in ProteomicsDB. Second, we release a new open-source user interface (UI) and show the advantages the scientific community gains from such software. With the new interface, two new visualizations of protein primary, secondary and tertiary structure as well an updated spectrum viewer were added. Furthermore, we integrated ProteomicsDB with our deep-neural-network Prosit that can predict the fragmentation characteristics and retention time of peptides. The result is an automatic processing pipeline that can be used to reevaluate database search engine results stored in ProteomicsDB. In addition, we extended the data content with experiments investigating different human biology as well as a newly supported organism. |
format | Online Article Text |
id | pubmed-8728203 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-87282032022-01-05 ProteomicsDB: toward a FAIR open-source resource for life-science research Lautenbacher, Ludwig Samaras, Patroklos Muller, Julian Grafberger, Andreas Shraideh, Marwin Rank, Johannes Fuchs, Simon T Schmidt, Tobias K The, Matthew Dallago, Christian Wittges, Holger Rost, Burkhard Krcmar, Helmut Kuster, Bernhard Wilhelm, Mathias Nucleic Acids Res Database Issue ProteomicsDB (https://www.ProteomicsDB.org) is a multi-omics and multi-organism resource for life science research. In this update, we present our efforts to continuously develop and expand ProteomicsDB. The major focus over the last two years was improving the findability, accessibility, interoperability and reusability (FAIR) of the data as well as its implementation. For this purpose, we release a new application programming interface (API) that provides systematic access to essentially all data in ProteomicsDB. Second, we release a new open-source user interface (UI) and show the advantages the scientific community gains from such software. With the new interface, two new visualizations of protein primary, secondary and tertiary structure as well an updated spectrum viewer were added. Furthermore, we integrated ProteomicsDB with our deep-neural-network Prosit that can predict the fragmentation characteristics and retention time of peptides. The result is an automatic processing pipeline that can be used to reevaluate database search engine results stored in ProteomicsDB. In addition, we extended the data content with experiments investigating different human biology as well as a newly supported organism. Oxford University Press 2021-11-17 /pmc/articles/PMC8728203/ /pubmed/34791421 http://dx.doi.org/10.1093/nar/gkab1026 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by/4.0/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. |
spellingShingle | Database Issue Lautenbacher, Ludwig Samaras, Patroklos Muller, Julian Grafberger, Andreas Shraideh, Marwin Rank, Johannes Fuchs, Simon T Schmidt, Tobias K The, Matthew Dallago, Christian Wittges, Holger Rost, Burkhard Krcmar, Helmut Kuster, Bernhard Wilhelm, Mathias ProteomicsDB: toward a FAIR open-source resource for life-science research |
title | ProteomicsDB: toward a FAIR open-source resource for life-science research |
title_full | ProteomicsDB: toward a FAIR open-source resource for life-science research |
title_fullStr | ProteomicsDB: toward a FAIR open-source resource for life-science research |
title_full_unstemmed | ProteomicsDB: toward a FAIR open-source resource for life-science research |
title_short | ProteomicsDB: toward a FAIR open-source resource for life-science research |
title_sort | proteomicsdb: toward a fair open-source resource for life-science research |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8728203/ https://www.ncbi.nlm.nih.gov/pubmed/34791421 http://dx.doi.org/10.1093/nar/gkab1026 |
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