TY - JOUR
T1 - ProteomicsDB
T2 - Toward a FAIR open-source resource for life-science research
AU - Lautenbacher, Ludwig
AU - Samaras, Patroklos
AU - Muller, Julian
AU - Grafberger, Andreas
AU - Shraideh, Marwin
AU - Rank, Johannes
AU - Fuchs, Simon T.
AU - Schmidt, Tobias K.
AU - The, Matthew
AU - Dallago, Christian
AU - Wittges, Holger
AU - Rost, Burkhard
AU - Krcmar, Helmut
AU - Kuster, Bernhard
AU - Wilhelm, Mathias
N1 - Publisher Copyright:
© 2022 The Author(s).
PY - 2022/1/7
Y1 - 2022/1/7
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85123388924&partnerID=8YFLogxK
U2 - 10.1093/nar/gkab1026
DO - 10.1093/nar/gkab1026
M3 - Article
C2 - 34791421
AN - SCOPUS:85123388924
SN - 0305-1048
VL - 50
SP - D1541-D1552
JO - Nucleic Acids Research
JF - Nucleic Acids Research
IS - D1
ER -