• BioContainers: An open-source and community-driven framework for software standardization 

      Leprevost, Felipe da Veiga; Grüning, Björn A.; Alves Aflitos, Saulo; Röst, Hannes L.; Uszkoreit, Julian; Barsnes, Harald; Vaudel, Marc; Moreno, Pablo; Gatto, Laurent; Weber, Jonas; Bai, Mingze; Jimenez, Rafael C.; Sachsenberg, Timo; Pfeuffer, Julianus; Vera Alvarez, Roberto; Griss, Johannes; Nesvizhskii, Alexey I.; Perez-Riverol, Yasset (Peer reviewed; Journal article, 2017-03-30)
      Motivation BioContainers (biocontainers.pro) is an open-source and community-driven framework which provides platform independent executable environments for bioinformatics software. BioContainers allows labs of all sizes ...
    • 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 ...
    • MaxDIA enables library-based and library-free data-independent acquisition proteomics 

      Sinitcyn, Pavel; Hamzeiy, Hamid; Salinas Soto, Favio; Itzhak, Daniel; McCarthy, Frank; Wichmann, Christoph; Steger, Martin; Ohmayer, Uli; Distler, Ute; Kaspar-Schoenefeld, Stephanie; Prianichnikov, Nikita; Yılmaz, Şule; Rudolph, Jan Daniel; Tenzer, Stefan; Perez-Riverol, Yasset; Nagaraj, Nagarjuna; Humphrey, Sean J.; Cox, Juergen (Journal article; Peer reviewed, 2021)
      MaxDIA is a software platform for analyzing data-independent acquisition (DIA) proteomics data within the MaxQuant software environment. Using spectral libraries, MaxDIA achieves deep proteome coverage with substantially ...
    • 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 ...
    • 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 ...
    • Proteomics Standards Initiative Extended FASTA Format 

      Binz, Pierre-Alain; Shofstahl, Jim; Vizcaino, Juan Antonio; Barsnes, Harald; Chalkley, Robert J.; Menschaert, Gerben; Alpi, Emanuele; Clauser, Karl; Eng, Jimmy K.; Lane, Lydie; Seymour, Sean L.; Hernández Sánchez, Luis Francisco; Mayer, Gerhard; Eisenacher, Martin; Perez-Riverol, Yasset; Kapp, Eugene A.; Mendoza, Luis; Baker, Peter R.; Collins, Andrew; Van Den Bossche, Tim; Deutsch, Eric W. (Peer reviewed; Journal article, 2019)
      Mass-spectrometry-based proteomics enables the high-throughput identification and quantification of proteins, including sequence variants and post-translational modifications (PTMs) in biological samples. However, most ...
    • ThermoRawFileParser: Modular, Scalable, and Cross-Platform RAW File Conversion 

      Hulstaert, Niels; Shofstahl, Jim; Sachsenberg, Timo; Walzer, Mathias; Barsnes, Harald; Martens, Lennart; Perez-Riverol, Yasset (Journal article; Peer reviewed, 2020)
      The field of computational proteomics is approaching the big data age, driven both by a continuous growth in the number of samples analyzed per experiment as well as by the growing amount of data obtained in each analytical ...