Dagstuhl Seminar Proceedings: Computational Proteomics 2005

• Clemens Gröpl:
  An Algorithm for Feature Finding in LC/MS Raw Data.
  
• Eva Lange, Clemens Gröpl, Oliver Kohlbacher, Andreas Hildebrandt:
  High-accuracy peak picking of proteomics data.
  
• Andreas Tholey:
  MALDI Mass Spectrometry for Quantitative Proteomics - Approaches, Scopes and Limitations.
  
• Ole Schulz-Trieglaff:
  Software platforms for quantitative proteomics.
  
• Christian Schley, Matthias Altmeyer, Rolf Müller, Christian G. Huber:
  Multidimensional Peptide/Protein Analysis and Identification by Sequence Database Search Using Mass Spectrometric Data.
  
• Christian G. Huber, Oliver Kohlbacher, Knut Reinert:
  05471 Executive Summary - Computational Proteomics.
  
• Nathanaël Delmotte, Bettina M. Mayr, Andreas Leinenbach, Knut Reinert, Oliver Kohlbacher, Christoph L. Klein, Christian G. Huber:
  Evaluation of LC-MS data for the absolute quantitative analysis of marker proteins.
  
• Tim Conrad:
  New statistical algorithms for clinical proteomics.
  
• Hansjörg Toll, Peter Berger, Andreas Hofmann, Andreas Hildebrandt, Herbert Oberacher, Hans-Peter Lenhof, Christian G. Huber:
  Glycosylation Patterns of Proteins Studied by Liquid Chromatography-Mass Spectrometry and Bioinformatic Tools.
  
• Hartmut Schlüter:
  Future Challenges in Proteomics.
  
• Sebastian Böcker, Veli Mäkinen:
  Combinatorial Approaches for Mass Spectra Recalibration.
  
• Wolf D. Lehmann, Junhua Wei, Juri Rappsilber, Mojiborahman Salek:
  The Peptide MS/MS-Fragmentome: A Set of Predictable Fragment Ions with Highly Redundant Sequence Information.
  
• Marc Sturm, Sascha Quinten, Christian G. Huber, Oliver Kohlbacher:
  A machine learning approach for prediction of DNA and peptide retention times.
  
• Christian G. Huber, Oliver Kohlbacher, Knut Reinert:
  05471 Abstract Collection - Computational Proteomics.
  

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