Browsing Bergen Open Research Archive by Author "Vizcaíno, Juan Antonio"

Now showing items 1-8 of 8

    • Exploring the potential of public proteomics data 

      Vaudel, Marc; Verheggen, Kenneth; Csordas, Attila; Ræder, Helge; Berven, Frode; Martens, Lennart; Vizcaíno, Juan Antonio; Barsnes, Harald (Peer reviewed; Journal article, 2016)
      In a global effort for scientific transparency, it has become feasible and good practice to share experimental data supporting novel findings. Consequently, the amount of publicly available MS‐based proteomics data has ...

    • An integrated landscape of protein expression in human cancer 

      Jarnuczak, Andrew F.; Najgebauer, Hanna; Barzine, Mitra; Kundu, Deepti J.; Zamanzad Ghavidel, Fatemeh; Perez-Riverol, Yasset; Papatheodorou, Irene; Brazma, Alvis; Vizcaíno, Juan Antonio (Journal article; Peer reviewed, 2021)
      Using 11 proteomics datasets, mostly available through the PRIDE database, we assembled a reference expression map for 191 cancer cell lines and 246 clinical tumour samples, across 13 lineages. We found unique peptides ...

    • The mzIdentML data standard version 1.2, supporting advances in proteome informatics 

      Vizcaíno, Juan Antonio; Mayer, Gerhard; Perkins, Simon; Barsnes, Harald; Vaudel, Marc; Perez-Riverol, Yasset; Ternent, Tobias; Uszkoreit, Julian; Eisenacher, Martin; Fischer, Lutz; Rappsilber, Juri; Netza, Eugen; Walzer, Mathias; Kohlbacher, Oliver; Leitner, Alexander; Chalkley, Robert J.; Ghali, Fawaz; Martínez-Bartolomé, Salvador; Deutsch, Eric W.; Jones, Andrew R. (Peer reviewed; Journal article, 2017-07-01)
      The first stable version of the Proteomics Standards Initiative mzIdentML open data standard (version 1.1) was published in 2012—capturing the outputs of peptide and protein identification software. In the intervening ...

    • OLS Client and OLS Dialog: Open source tools to annotate public omics datasets 

      Perez-Riverol, Yasset; Ternent, Tobias; Koch, Maximilian; Barsnes, Harald; Vrousgou, Olga; Jupp, Simon; Vizcaíno, Juan Antonio (Peer reviewed; Journal article, 2017)
      The availability of user‐friendly software to annotate biological datasets and experimental details is becoming essential in data management practices, both in local storage systems and in public databases. The Ontology ...

    • The Ontology Lookup Service: bigger and better 

      Côté, Richard G.; Reisinger, Florian; Martens, Lennart; Barsnes, Harald; Vizcaíno, Juan Antonio; Hermjakob, Henning (Peer reviewed; Journal article, 2010-05-11)
      The Ontology Lookup Service (OLS; http://www.ebi .ac.uk/ols) has been providing several means to query, browse and navigate biomedical ontologies and controlled vocabularies since it first went into production 4 years ago, ...

    • The PRoteomics IDEntification (PRIDE) Converter 2 Framework: An Improved Suite of Tools to Facilitate Data Submission to the PRIDE Database and the ProteomeXchange Consortium 

      Côté, Richard G.; Griss, Johannes; Dianes, José A.; Wang, Rui; Wright, James C.; van den Toorn, Henk W.P.; van Breukelen, Bas; Heck, Albert J. R.; Hulstaert, Niels; Martens, Lennart; Reisinger, Florian; Csordas, Attila; Ovelleiro, David; Perez-Rivevol, Yasset; Barsnes, Harald; Hermjakob, Henning; Vizcaíno, Juan Antonio (Peer reviewed; Journal article, 2012-12)
      The original PRIDE Converter tool greatly simplified the process of submitting mass spectrometry (MS)-based proteomics data to the PRIDE database. However, after much user feedback, it was noted that the tool had some ...

    • The Proteomics Identifications database: 2010 update 

      Vizcaíno, Juan Antonio; Côté, Richard G.; Reisinger, Florian; Barsnes, Harald; Foster, JM; Rameseder, Jonathan; Hermjakob, Henning; Martens, Lennart (Peer reviewed; Journal article, 2009-11-11)
      The Proteomics Identifications database (PRIDE, http://www.ebi.ac.uk/pride) at the European Bioinformatics Institute has become one of the main repositories of mass spectrometry-derived proteomics data. For the last 2 ...

    • A proteomics sample metadata representation for multiomics integration and big data analysis 

      Dai, Chengxin; Füllgrabe, Anja; Pfeuffer, Julianus; Solovyeva, Elizaveta M.; Deng, Jingwen; Moreno, Pablo; Kamatchinathan, Selvakumar; Kundu, Deepti Jaiswal; George, Nancy; Fexova, Silvie; Grüning, Björn A.; Föll, Melanie Christine; Griss, Johannes; Vaudel, Marc; Audain, Enrique; Locard-Paulet, Marie; Turewicz, Michael; Eisenacher, Martin; Uszkoreit, Julian; Van Den Bossche, Tim; Schwämmle, Veit; Webel, Henry; Schulze, Stefan; Bouyssié, David; Jayaram, Savita; Duggineni, Vinay Kumar; Samaras, Patroklos; Wilhelm, Mathias; Choi, Meena; Wang, Mingxun; Kohlbacher, Oliver; Brazma, Alvis; Papatheodorou, Irene; Bandeira, Nuno; Deutsch, Eric W.; Vizcaíno, Juan Antonio; Bai, Mingze; Sachsenberg, Timo; Levitsky, Lev I.; Perez-Riverol, Yasset (Journal article; Peer reviewed, 2021)
      The amount of public proteomics data is rapidly increasing but there is no standardized format to describe the sample metadata and their relationship with the dataset files in a way that fully supports their understanding ...