• An accessible proteogenomics informatics resource for cancer researchers 

      Chambers, Matthew C.; Jagtap, Pratik D.; Johnson, James E.; McGowan, Thomas; Kumar, Praveen; Onsongo, Getiria; Guerrero, Candace R.; Barsnes, Harald; Vaudel, Marc; Martens, Lennart; Grüning, Björn; Cooke, Ira R.; Heydarian, Mohammad; Reddy, Karen L.; Griffin, Timothy J. (Peer reviewed; Journal article, 2017)
      Proteogenomics has emerged as a valuable approach in cancer research, which integrates genomic and transcriptomic data with mass spectrometry–based proteomics data to directly identify expressed, variant protein sequences ...
    • Compomics-utilities: an open-source Java library for computational proteomics 

      Barsnes, Harald; Vaudel, Marc; Colaert, Niklaas; Helsens, Kenny; Sickmann, Albert; Berven, Frode S.; Martens, Lennart (Peer reviewed; Journal article, 2011-03-08)
      Background The growing interest in the field of proteomics has increased the demand for software tools and applications that process and analyze the resulting data. And even though the purpose of these tools can vary ...
    • Crowdsourcing in proteomics: public resources lead to better experiments 

      Barsnes, Harald; Martens, Lennart (Peer reviewed; Journal article, 2013-04)
      With the growing interest in the field of proteomics, the amount of publicly available proteome resources has also increased dramatically. This means that there are many useful resources available for almost all aspects ...
    • DeNovoGUI: an open source graphical user interface for de novo sequencing of tandem mass spectra 

      Muth, Thilo; Weilnböck, Lisa; Rapp, Erdmann; Huber, Christian G.; Martens, Lennart; Vaudel, Marc; Barsnes, Harald (Peer reviewed; Journal article, 2014)
      De novo sequencing is a popular technique in proteomics for identifying peptides from tandem mass spectra without having to rely on a protein sequence database. Despite the strong potential of de novo sequencing algorithms, ...
    • Distributed computing and data storage in proteomics: many hands make light work, and a stronger memory 

      Verheggen, Kenneth; Barsnes, Harald; Martens, Lennart (Peer reviewed; Journal article, 2014-03)
      Modern day proteomics generates ever more complex data, causing the requirements on the storage and processing of such data to outgrow the capacity of most desktop computers. To cope with the increased computational demands, ...
    • 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 ...
    • Introduction to opportunities and pitfalls in functional mass spectrometry based proteomics 

      Vaudel, Marc; Sickmann, Albert; Martens, Lennart (Peer reviewed; Journal article, 2014-01)
      With the advent of mass spectrometry based proteomics, the identification of thousands of proteins has become commonplace in biology nowadays. Increasingly, efforts have also been invested toward the detection and localization ...
    • 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 ...
    • 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, ...
    • 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 ...
    • 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 ...
    • 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 ...