MASTERARBEIT - Fachhochschule Salzburg

Literaturverzeichnis 107[39] M. Radlingmaier: Optimierte Hidden Markov Modelle für das Sequenz-Scoring aufBasis von Multiplen Alignments. Diplomarbeit, Fachhochschule Salzburg; FachbereichInformationstechnik und System-Management, Puch/Salzburg, 2007.[40] F. Sanger, S. Nicklen, and A.R. Coulsen: DNA sequencing with chain-terminatinginhibitors. In Proceedings of the National Academy of Sciences U.S.A., volume74, pages 5463–5467, Washington, DC, October 1977.[41] R. Sedgewick: Algorithmen. Pearson Education Inc., München, 2. Auflage, 2002.[42] K. Sharma: Bioinformatics: Sequence Alignment and Markov Models. McGraw-Hill Professional, New York, 1st edition, 2008.[43] T.F. Smith and M.S. Waterman: Identification of Common Molecular Subsequences.Journal of Molecular Biology, 147:195-197, 1981.[44] E.L. Sonnhammer, S.R. Eddy, and R. Durbin: Pfam: A Comprehensive Databaseof Protein Domain Families Based on Seed Alignments. PROTEINS: Structure,Function, and Genetics, 28:405-420, 1997.[45] J.D. Thompson, D.G Higgins, and T.J. Gibson: CLUSTAL W: improving thesensitivity of progressive multiple sequence alignment through sequence weighting,positionspecific gap penalties and weight matrix choice. Nucleic Acids Research,22:4673-4680, 1994.[46] C.S. Tsai: An Introduction to Computational Biochemistry. Wiley-Liss, Inc, NewYork, 2002.[47] S. Wegenkittl, F. Auer, D. Bindreither, and P. Lackner: Expert knowledge enhancedstructure based profile HMMs for protein sequence families. In Posterpresentationat the 3DSig 2009, 2009.