Massimo Andreatta

Summary

Affiliation: Center for Biological Sequence Analysis
Country: Denmark

Publications

  1. doi request reprint Simultaneous alignment and clustering of peptide data using a Gibbs sampling approach
    Massimo Andreatta
    Center for Biological Sequence Analysis, Technical University of Denmark, DK 2800 Lyngby, Denmark
    Bioinformatics 29:8-14. 2013
  2. pmc NNAlign: a web-based prediction method allowing non-expert end-user discovery of sequence motifs in quantitative peptide data
    Massimo Andreatta
    Center for Biological Sequence Analysis, Technical University of Denmark, Kongens Lyngby, Denmark
    PLoS ONE 6:e26781. 2011
  3. pmc Characterizing the binding motifs of 11 common human HLA-DP and HLA-DQ molecules using NNAlign
    Massimo Andreatta
    Center for Biological Sequence Analysis, Technical University of Denmark, Lyngby, Denmark
    Immunology 136:306-11. 2012
  4. pmc In silico prediction of human pathogenicity in the γ-proteobacteria
    Massimo Andreatta
    Center for Biological Sequence Analysis, Technical University of Denmark, Kongens Lyngby, Denmark
    PLoS ONE 5:e13680. 2010
  5. pmc Using electronic patient records to discover disease correlations and stratify patient cohorts
    Francisco S Roque
    Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, Lyngby, Denmark
    PLoS Comput Biol 7:e1002141. 2011

Collaborators

  • Morten Nielsen
  • Ole Lund
  • Søren Brunak
  • Francisco S Roque
  • Thomas Werge
  • Henriette Schmock
  • Peter B Jensen
  • Søren Bredkjær
  • Marlene Dalgaard
  • Thomas Hansen
  • Lars J Jensen
  • Karen Søeby
  • Anders Juul

Detail Information

Publications5

  1. doi request reprint Simultaneous alignment and clustering of peptide data using a Gibbs sampling approach
    Massimo Andreatta
    Center for Biological Sequence Analysis, Technical University of Denmark, DK 2800 Lyngby, Denmark
    Bioinformatics 29:8-14. 2013
    ..Interpretation of such large peptide datasets, however, is a complex task, especially when the data contain multiple receptor binding motifs, and/or the motifs are found at different locations within distinct peptides...
  2. pmc NNAlign: a web-based prediction method allowing non-expert end-user discovery of sequence motifs in quantitative peptide data
    Massimo Andreatta
    Center for Biological Sequence Analysis, Technical University of Denmark, Kongens Lyngby, Denmark
    PLoS ONE 6:e26781. 2011
    ..We have successfully applied this method to several different data sets including peptide microarray-derived sets containing more than 100,000 data points. NNAlign is available online at http://www.cbs.dtu.dk/services/NNAlign...
  3. pmc Characterizing the binding motifs of 11 common human HLA-DP and HLA-DQ molecules using NNAlign
    Massimo Andreatta
    Center for Biological Sequence Analysis, Technical University of Denmark, Lyngby, Denmark
    Immunology 136:306-11. 2012
    ..Conversely, the binding motifs for DQ molecules appear more divergent, displaying unconventional anchor positions and in some cases rather unspecific amino acid preferences...
  4. pmc In silico prediction of human pathogenicity in the γ-proteobacteria
    Massimo Andreatta
    Center for Biological Sequence Analysis, Technical University of Denmark, Kongens Lyngby, Denmark
    PLoS ONE 5:e13680. 2010
    ..Bioinformatics-based methods are therefore strongly needed to mine the fast growing number of genome sequences and assess in a rapid and reliable way the pathogenicity of novel bacteria...
  5. pmc Using electronic patient records to discover disease correlations and stratify patient cohorts
    Francisco S Roque
    Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, Lyngby, Denmark
    PLoS Comput Biol 7:e1002141. 2011
    ..As a use case we show how records from a Danish psychiatric hospital lead to the identification of disease correlations, which subsequently can be mapped to systems biology frameworks...