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Daniel Otzen

Condenser: A statistical aggregation tool for multi-sample quantitative proteomic data from Matrix Science Mascot Distiller™

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

  • Anders Dahl Knudsen, Denmark
  • Tue Bennike, Aalborg University, Denmark
  • Henrik Kjeldal, Aalborg University, Denmark
  • Svend Birkelund, Aalborg University, Denmark
  • Daniel Otzen
  • Allan Stensballe, Department of Health Science and Technology, Aalborg University, Denmark. Electronic address: as@hst.aau.dk.
We describe Condenser, a freely available, comprehensive open-source tool for merging multidimensional quantitative proteomics data from the Matrix Science Mascot Distiller Quantitation Toolbox into a common format ready for subsequent bioinformatic analysis. A number of different relative quantitation technologies, such as metabolic (15)N and amino acid stable isotope incorporation, label-free and chemical-label quantitation are supported. The program features multiple options for curative filtering of the quantified peptides, allowing the user to choose data quality thresholds appropriate for the current dataset, and ensure the quality of the calculated relative protein abundances. Condenser also features optional global normalization, peptide outlier removal, multiple testing and calculation of t-test statistics for highlighting and evaluating proteins with significantly altered relative protein abundances. Condenser provides an attractive addition to the gold-standard quantitative workflow of Mascot Distiller, allowing easy handling of larger multi-dimensional experiments. Source code, binaries, test data set and documentation are available at http://condenser.googlecode.com/
Original languageEnglish
JournalJournal of Proteomics
Pages (from-to)261-266
Number of pages6
Publication statusPublished - 30 May 2014

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