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DFG-Schwerpunkt

Informatikmethoden zur Analyse und Interpretation großer genomischer Datenmengen

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Informatik ’97 Informatik als Innovationsmotor

Part of the book series: Informatik aktuell ((INFORMAT))

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Zusammenfassung

Im April 1997 hat die DFG die Einrichtung eines Schwerpunktprogramms mit dem oben genannten Titel beschlossen. Dieses Kurzpapier beschreibt Zielsetzung und Inhalt des Schwerpunktes.

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Referenzen

  1. A. Goffeau et al, Life with 6000 genes, Science 274(1995) 546–567

    Article  Google Scholar 

  2. http://www.mcs.anl.gov/home/gaasterl/genomes.html

  3. http://www.sanger.ac.uk/bio/mod.orgs.html

  4. http://mips.biochem.mpg.de/yeast/

  5. P. Bork, C. Ouzounis, C. Sander, M. Scharf, R. Schneider, E. Sonnhammer, What’s in a genome?, Nature 358, 23 July 1992

    Article  Google Scholar 

  6. R.D. Fleischmann et. al., Whole-genome random sequencing and assembly of Haemophilus influenzaeRd, Science 269(1995) 496–512

    Article  Google Scholar 

  7. P. Bork, C. Ouzounis, G. Casari, R. Schneider, C. Sander, M. Dolan, W. Gilbert, P.M. Gillevet, Exploring the Mycoplasma capricolum genome: a minimal cell reveals its physiology, Mol Microbiol 16(1995) 955–967

    Google Scholar 

  8. http://www.embl-heidelberg.de/-genequiz/

  9. G. Casari, C. Ouzounis , A. Valencia, C. Sander, GeneQuiz II: automatic function assignment for genome sequence analysis. In Proceedings of the First Annual Pacific Symposium on Biocomputing, World Scientific (1996) 707–709

    Google Scholar 

  10. http://wild.tigr.org/tdb/tdb.html

  11. K. Quandt, K. Grote, T. Werner, GenomeInspector: Basic software tools for analysis of spatial correlations between genomic structures within megabase sequences, Genomics 33(1996) 301–304

    Article  Google Scholar 

  12. D.E. Bassett Jr., M.S. Boguski, P. Hieter, Yeast genes and human disease, Nature 379(1996) 589–590

    Article  Google Scholar 

  13. W.A. Haseltine, Gensuche für medizinische Entwicklungen, Spektrum der Wissenschaf (Mai 1997) 64–71

    Google Scholar 

  14. T. Lengauer, Molekulare Bioinformatik: Eine interdisziplinare Herausforderung. In Highlights aus der Informatik (I. Wegener Hrsg.), Springer Verlag, Heidelberg (1996) 83–111

    Chapter  Google Scholar 

  15. M.S. Waterman, Introduction to Computational Biology, Chapman & Hall, New York, N. Y. (1995)

    MATH  Google Scholar 

  16. A. Krogh, M. Brown, I.S. Mian, K. Sj6lander, D. Haussler, Hidden Markov Models in computational biology, J Mol Biol 235(1994) 1501–1531

    Article  Google Scholar 

  17. M. O. Dayhoff, R. M. Schwartz and B. C. Orcutt, A model of evolutionary changes in proteins, In Atlas of Protein Sequence and Structure, Vol. 5, Suppl. 3, National Biomedical Research Foundation, Washington D.C. (1978) 345–352

    Google Scholar 

  18. S. A. Benner, M. A. Cohen and G. H. Gonnet, Empirical and structural models of insertion and deletions in the divergent evolution of proteins, J Mo l Biol 229(1993) 1065–1082.

    Article  Google Scholar 

  19. H.-T. Mevissen, M. Vingron, Quantifying the local reliability of a sequence alignment, Prot Eng 9(1996) 127–132

    Article  Google Scholar 

  20. J.U. Bowie, R. Luthy, D. Eisenberg, A method to identify protein sequences that fold into a known three-dimensional structure, Science 253 (1991) 164–170

    Article  Google Scholar 

  21. N.N. Alexandrov, R.N. Nussinov, R.M. Zimmer, Fast protein fold recognition via sequence to structure alignment and contact capacity potentials, In Proceedings of the Pacific Symposium on Biocomputing’96, Hrsg. Lawrence Hunter and Teri E. Klein, World Scientific Publishing, Singapore (1996) 53–72

    Google Scholar 

  22. R.H. Lathrop, T.F. Smith, Global optimum protein threading with gapped alignment and empirical pair score functions, J Mol Biol 255(1996) 641–655

    Article  Google Scholar 

  23. R. Thiele, R. Zimmer, T. Lengauer, Recursive dynamic programming for adaptive sequence and structure alignment, Proceedings of the Third International Conference on Intelligent Systems for Molecular Biology (ISMB’95), C. Rawlings et al., Hrsg., AAAI Press (1995) 384–392

    Google Scholar 

  24. B. Rost, C. Sander, Prediction of protein secondary structure at better than 70% accuracy, J Mol Biol 232(1993) 584–599

    Article  Google Scholar 

  25. B. Sandak, R. Nussinov, H.J. Wolfson, An automated computerd roboticsbased technique for 3-D flexible biomolecular docking and matching, Comput Appl Biosci 11(1995) 87–99

    Google Scholar 

  26. M. Rarey, B. Kramer, T. Lengauer, G. Klebe, A fast flexible docking method using an incremental construction algorithm, J Mol Biol 261(1996) 470–489

    Article  Google Scholar 

  27. H.-P. Lenhof, New contact measures for the protein docking problem, Proceedings of the First Annual International Conference on Computational Molecular Biology (RECOMB’97)(1997) 182–191.

    Google Scholar 

  28. I. Koch, T. Lengauer, E. Wanke, An algorithm for finding maximal common subtopologies in a set of protein structures, J Comp Biol 3(1996) 289–306

    Article  Google Scholar 

  29. T. Lengauer, M. Rarey, Methods for predicting molecular complexes involving proteins. Curr Opin Struc Biol 6, 3 (1996) 402–406

    Article  Google Scholar 

  30. S. Goto, H. Bono, H. Ogata, W. Fujibuchi, T. Nishioka, K. Sato and M. Kanehisa, Organizing and computing metabolic pathway data in terms of binary relations, Electronic Proceedings of the Pacific Symposium on Biocomputing (PSB’97), http://www-smi.stanford.edu/people/altman/psb97/index.html(1997)

    Google Scholar 

  31. P. Karp, M. Riley, S. Paley, S., A. Pellegrini-Toole, EcoCyc: Electronic encyclopedia of E. coli genes and metabolism, Nuc Acids Res 25(1997)

    Google Scholar 

  32. P. Karp, C. Ouzonis, S. Paley, Hincyc: A knowledge base of the complete genome and metabolic pathways of H. influenzae, Proceedings of theFourth International Symposium on Intelligent Systems for Molecular Biology (ISMB’96), AAAI Press (1996) 116–124

    Google Scholar 

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Author information

Authors and Affiliations

  1. GMD-SCAI, 53754, Sankt Augustin, Germany

    Thomas Lengauer

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  1. Thomas Lengauer
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Editor information

Editors and Affiliations

  1. Lehrstuhl für Informatik V, RWTH Aachen, D-52056, Aachen, Germany

    Matthias Jarke  & Klaus Pohl  & 

  2. Philips GmbH Forschungslaboratorien, Weißhausstr. 2, D-52066, Aachen, Germany

    Klaus Pasedach

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© 1997 Springer-Verlag Berlin Heidelberg

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Lengauer, T. (1997). DFG-Schwerpunkt. In: Jarke, M., Pasedach, K., Pohl, K. (eds) Informatik ’97 Informatik als Innovationsmotor. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-60831-5_12

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  • DOI: https://doi.org/10.1007/978-3-642-60831-5_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63066-1

  • Online ISBN: 978-3-642-60831-5

  • eBook Packages: Springer Book Archive

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