• Machine learning applications in proteomics research: How the past can boost the future 

      Kelchtermans, Pieter; Bittremieux, Wout; De Grave, Kurt; Degroeve, S; Ramon, Jan; Laukens, Kris; Valkenborg, Dirk; Barsnes, Harald; Martens, Lennart (Peer reviewed; Journal article, 2014)
      Machine learning is a subdiscipline within artificial intelligence that focuses on algorithms that allow computers to learn solving a (complex) problem from existing data. This ability can be used to generate a solution ...
    • MassSorter: a tool for administrating and analyzing data from mass spectrometry experiments on proteins with known amino acid sequences 

      Barsnes, Harald; Mikalsen, Svein-Ole; Eidhammer, Ingvar (Peer reviewed; Journal article, 2006-01-26)
      Background: Proteomics is the study of the proteome, and is critical to the understanding of cellular processes. Two central and related tasks of proteomics are protein identification and protein characterization. Many ...
    • 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 ...
    • OLS Dialog: An open-source front end to the Ontology Lookup Service 

      Barsnes, Harald; Côté, Richard G.; Eidhammer, Ingvar; Martens, Lennart (Peer reviewed; Journal article, 2010-01-17)
      Background: With the growing amount of biomedical data available in public databases it has become increasingly important to annotate data in a consistent way in order to allow easy access to this rich source of information. ...
    • 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, ...
    • PathwayMatcher: proteoform-centric network construction enables fine-granularity multi-omics pathway mapping 

      Hernández Sánchez, Luis Francisco; Burger, Bram; Horro Marcos, Carlos; Fabregat, Antonio; Johansson, Stefan; Njølstad, Pål Rasmus; Barsnes, Harald; Hermjakob, Henning; Vaudel, Marc (Peer reviewed; Journal article, 2019-07-30)
      Background Mapping biomedical data to functional knowledge is an essential task in bioinformatics and can be achieved by querying identifiers (e.g., gene sets) in pathway knowledge bases. However, the isoform and ...
    • PeptideShaker Online: A User-Friendly Web-Based Framework for the Identification of Mass Spectrometry-Based Proteomics Data 

      Farag, Yehia Mokhtar; Horro Marcos, Carlos; Vaudel, Marc; Barsnes, Harald (Journal article; Peer reviewed, 2021)
      Mass spectrometry-based proteomics is a high-throughput technology generating ever-larger amounts of data per project. However, storing, processing, and interpreting these data can be a challenge. A key element in simplifying ...
    • Practical considerations for omics experiments in biomedical sciences 

      Vaudel, Marc; Barsnes, Harald; Bjerkvig, Rolf; Bikfalvi, Andreas; Selheim, Frode; Berven, Frode; Daubon, Thomas (Peer reviewed; Journal article, 2016)
      Modern analytical techniques provide an unprecedented insight to biomedical samples, allowing an in depth characterization of cells or body fluids, to the level of genes, transcripts, peptides, proteins, metabolites, or ...
    • Protease-dependent fractional mass and peptide properties 

      Barsnes, Harald; Eidhammer, Ingvar; Cruciani, Véronique; Mikalsen, Svein-Ole (Peer reviewed; Journal article, 2008-09-22)
      Mass spectrometric analyses of peptides mainly rely on cleavage of proteins with proteases that have a defined specificity. The specificities of the proteases imply that there is not a random distribution of amino acids ...
    • 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 ...
    • 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 ...
    • SearchGUI: a highly adaptable common interface for proteomics search and de novo engines 

      Barsnes, Harald; Vaudel, Marc (Peer reviewed; Journal article, 2018)
      Mass-spectrometry-based proteomics has become the standard approach for identifying and quantifying proteins. A vital step consists of analyzing experimentally generated mass spectra to identify the underlying peptide ...
    • Shedding light on black boxes in protein identification 

      Vaudel, Marc; Venne, A. Saskia; Berven, Frode; Zahedi, René P.; Martens, Lennart; Barsnes, Harald (Peer reviewed; Journal article, 2014-05)
      Performing a well thought-out proteomics data analysis can be a daunting task, especially for newcomers to the field. Even researchers experienced in the proteomics field can find it challenging to follow existing publication ...
    • thermo-msf-parser: An Open Source Java Library to Parse and Visualize Thermo Proteome Discoverer msf Files 

      Colaert, Niklaas; Barsnes, Harald; Vaudel, Marc; Helsens, Kenny; Timmerman, Evy; Sickmann, Albert; Gevaert, Kris; Martens, Lennart (Peer reviewed; Journal article, 2011)
      The Thermo Proteome Discoverer program integrates both peptide identification and quantification into a single workflow for peptide-centric proteomics. Furthermore, its close integration with Thermo mass spectrometers has ...
    • 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 ...
    • Use of stable isotope dimethyl labeling coupled to selected reaction monitoring to enhance throughput by multiplexing relative quantitation of targeted proteins 

      Aye, Thin Thin; Low, Teck Yew; Bjørlykke, Yngvild; Barsnes, Harald; Heck, Albert J.R.; Berven, Frode (Peer reviewed; Journal article, 2012)
      In this manuscript, we present a proof-of-concept study for targeted relative protein quantitation workflow using chemical labeling in the form of dimethylation, coupled with selected reaction monitoring (dimethyl-SRM). ...
    • Viewing the proteome: How to visualize proteomics data? 

      Oveland, Eystein; Muth, Thilo; Rapp, Erdmann; Martens, Lennart; Berven, Frode; Barsnes, Harald (Peer reviewed; Journal article, 2015-04)
      Proteomics has become one of the main approaches for analyzing and understanding biological systems. Yet similar to other high-throughput analysis methods, the presentation of the large amounts of obtained data in easily ...