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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
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.
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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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