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Research Article

NNAlign: A Web-Based Prediction Method Allowing Non-Expert End-User Discovery of Sequence Motifs in Quantitative Peptide Data

  • Massimo Andreatta mail,

    massimo@cbs.dtu.dk

    Affiliation: Center for Biological Sequence Analysis, Technical University of Denmark, Kongens Lyngby, Denmark

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  • Claus Schafer-Nielsen,

    Affiliation: Schafer-N, Copenhagen, Denmark

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  • Ole Lund,

    Affiliation: Center for Biological Sequence Analysis, Technical University of Denmark, Kongens Lyngby, Denmark

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  • Søren Buus,

    Affiliation: Laboratory of Experimental Immunology, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark

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  • Morten Nielsen

    Affiliation: Center for Biological Sequence Analysis, Technical University of Denmark, Kongens Lyngby, Denmark

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  • Published: November 02, 2011
  • DOI: 10.1371/journal.pone.0026781

About the Authors

Massimo Andreatta, Ole Lund, Morten Nielsen
Center for Biological Sequence Analysis, Technical University of Denmark, Kongens Lyngby, Denmark
Claus Schafer-Nielsen
Schafer-N, Copenhagen, Denmark
Søren Buus
Laboratory of Experimental Immunology, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark

Corresponding Author

Email: massimo@cbs.dtu.dk

Competing Interests

C Schafer-Nielsen is employed by the company Schafer-N, which generated some of the data used in this study. There are no patents, products in development or marketed products to declare. This does not alter the authors' adherence to all the PLoS ONE policies on sharing data and materials, as detailed online in the guide for authors.

Author Contributions

Conceived and designed the experiments: MA MN SB. Performed the experiments: MA. Analyzed the data: MA MN. Contributed reagents/materials/analysis tools: CS. Wrote the paper: MA MN OL CS SB.