Zeitschriftenartikel (183)

  1. 181.
    Müller, T.; Spang, R.; Vingron, M.: Estimating Amino Acid Substitution Models: A Comparison of Dayhoff's Estimator, the Resolvent Approach and a Maximum Likelihood Method. Molecular Biology and Evolution 19 (1), S. 8 - 13 (2002)
  2. 182.
    Meinel, T.; Krause, A.; Luz, H.; Vingron, M.; Staub, E.: The SYSTERS Protein Family Database in 2005.
  3. 183.
    Schmid, M.; Davison, T. S.; Henz, S. R.; Pape, U. J.; Demar, M.; Vingron, M.; Schoelkopf, B.; Weigel, D.; Lohmann, J. U.: A gene expression map of Arabidopsis development.

Buchkapitel (11)

  1. 184.
    Schulz, M. H.; Köhler, S.; Bauer, S.; Vingron, M.; Robinson, P. N.: Exact Score Distribution Computation for Similarity Searches in Ontologies. In: Algorithms in Bioinformatics, S. 298 - 309 (Hg. Salzberg, S. L.; Warnow, T.). Springer, New York [et al] (2009)
  2. 185.
    Schulz, M. H.; Weese, D.; Rausch, T.; Döring, A.; Reinert, K.; Vingron, M.: Fast and adaptive variable order Markov chain construction. In: Algorithms in Bioinformatics, S. 306 - 317 (Hg. Crandall, K. A.; Lagergren, J.). Springer, Berlin / Heidelberg (2008)
  3. 186.
    Coulson, R.; Manke, T.; Palin, K.; Roider, H.; Sand, O.; van Helden, J.; Ukkonen, E.; Vingron, M.; Brazma, A.: From gene expression profiling to gene regulation. In: Modern Genome Annotation, S. 91 - 102 (Hg. Frishman, D.; Valencia, A.). Springer, Wien (2008)
  4. 187.
    Manke, T.; Roider, H. G.; Vingron, M.: A biophysical approach to large-scale protein-DNA binding data. In: Modern Genome Annotation: The Biosapiens Network, S. 91 - 102 (Hg. Frishman, D.; Valencia, A.). Springer, New York (2008)
  5. 188.
    Klau, G. W.; Rahmann, S.; Schliep, A.; Vingron, M.; Reinert, K.: Integer linear programming approaches for non-unique probe selection. In: Discrete Mathematics and Data Mining II - DM & DM II, S. 840 - 856 (Hg. Anthony, M.H.G.; Boros, E.; Hammer, P.L.; Kogan, A.). Elsevier, Amsterdam et al (2007)
  6. 189.
    Behzadi, B.; Vingron, M.: Reconstructing Domain Compositions of Ancestral Multi-Domain Proteins. In: Comparative Genomics, S. 1 - 10. Springer, Berlin/Heidelberg (2006)
  7. 190.
    Behzadi, B.; Vingron, M.: An Improved Algorithm for the Macro-evolutionary Phylogeny Problem. In: Combinatorial Pattern Matching, S. 177 - 187. Springer, Berlin/Heidelberg (2006)
  8. 191.
    Steinhoff, C.; Vingron, M.: Normalization strategies for microarray data analysis. In: DNA Microarrays, S. 215 - 223 (Hg. Nuber, U.). Garland Science, Great Britain (2005)
  9. 192.
    Huber, W.; Heydebreck, A. v.; Vingron, M.: Analysis of microarray gene expression data. In: Handbook of Statistical Genetics, S. / - / (Hg. Balding, D. J.; Bishop, M.; Cannings, C.). John Wiley & Sons, Ltd, Chichester [et al] (2003)
  10. 193.
    Fellenberg, K.; Vingron, M.; Hauser, N. C.; Hoheisel, J. D.: Correspondence analysis with microarray data. In: Perspectives in gene expression, S. 307 - 343 (Hg. Appasani, K.). Eaton Publishing, Westborough, MA (2003)
  11. 194.
    Brazma, A.; Sarkans, U.; Robinson, A.; Jaak, V.; Vingron, M.; Hoheisel, J.; Fellenberg, K.: Microarray Data Representation, Annotation and Storage. In: Chip Technology, S. 113 - 139 (Hg. Hoheisel, J.). Springer-Verlag, Heidelberg (2002)

Konferenzband (1)

  1. 195.
    Gaussian mixture density estimation applied to microarray data (Lecture Notes in Computer Sciences, 2810). 5th International Symposium on Intelligent Data Analysis, IDA 2003, Berlin, Germany, 28. August 2003 - 30. August 2003. Springer, Berlin [et al] (2003), 624 pp S.

Konferenzbeitrag (15)

  1. 196.
    Schöpflin, R.; Vingron, M.: Identification of cis-regulatory elements from chromosome conformation capture data. In: 19th Annual International Conference on Research in Computational Molecular Biology (RECOMB 2015). 19th Annual International Conference on Research in Computational Molecular Biology (RECOMB 2015), Warsaw, Poland, 12. April 2015 - 15. April 2015. (2015)
  2. 197.
    Schöpflin, R.; Andrey, G.; Heinrich, V.; Franke, M.; Ibrahim, D.; Paliou, C.; Mundlos, S.; Vingron, M.: Identification of potential regulatory elements in Capture-C interaction profiles. In: Genome Regulation in 3D. Genome Regulation in 3D, Rehovot, Israel, 28. Juni 2015 - 30. Juni 2015. Weizmann Institute, Rehovot, Israel (2015)
  3. 198.
    Pape, U. J.; Vingron, M.: Statistics for Co-Occurrence of DNA Motifs. 2008 International Workshop on Applied Probability, Université de Technologie de Compiègne, France, 07. Juli 2008 - 10. Juli 2008. (2008)
  4. 199.
    Pape, U.; Vingron, M.: Statistical detection of co-operative transcription factors with similarity adjustment. In: Proceedings of the German Conference on Bioinformatics, GCB, S. 96 - 105 (Hg. Andreas Beyer, M. S.). German Conference on Bioinformatics (GCB), Dresden, 09. September 2008 - 12. September 2008. GI (2008)
  5. 200.
    Klein, H.; Vingron, M.: Using Transcription Factor Binding Site Co-Occurrence to Predict Regulatory Regions. The Seventh Annual International Workshop on Bioinformatics and Systems Biology, Institute of Medical Science, The University of Tokyo, Japan, 31. Juli 2007 - 02. August 2007. Genome Informatics 18, S. 109 - 118 (2007)
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