Detail Information
Publications
Simultaneous alignment and clustering of peptide data using a Gibbs sampling approachMassimo 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...
NNAlign: a web-based prediction method allowing non-expert end-user discovery of sequence motifs in quantitative peptide dataMassimo 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...
Characterizing the binding motifs of 11 common human HLA-DP and HLA-DQ molecules using NNAlignMassimo 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...
In silico prediction of human pathogenicity in the γ-proteobacteriaMassimo 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...
