Computational Methods in Genome Research
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Can Computational Science Keep Up with Evolving Technology for Genome Mapping and Sequencing? (C.R. Cantor). Informatics and Experiments for the Human Genome Project (H. Lehrach et al.). Date Management Tools for Scientific Applications (V.M. Markowitz). The ACEDB Genome Database (R. Durbin, UJ. ThierryMieg). The Integrated Genomic Database (O. Ritter). Genetic Mapping (J. Beckmann). Representing Genomic Maps in a Relational Database (R.J. Robbins). Livermore's Pragmatic Approach to Integrated Mapping for Chromosome 19 (T. Slezak et al.). Searching Protein Sequence Databases (W.R. Pearson). Al...
Can Computational Science Keep Up with Evolving Technology for Genome Mapping and Sequencing? (C.R. Cantor). Informatics and Experiments for the Human Genome Project (H. Lehrach et al.). Date Management Tools for Scientific Applications (V.M. Markowitz). The ACEDB Genome Database (R. Durbin, UJ. ThierryMieg). The Integrated Genomic Database (O. Ritter). Genetic Mapping (J. Beckmann). Representing Genomic Maps in a Relational Database (R.J. Robbins). Livermore's Pragmatic Approach to Integrated Mapping for Chromosome 19 (T. Slezak et al.). Searching Protein Sequence Databases (W.R. Pearson). Algorithmic Advances for Searching Biosequence Databases (E.W. Myers). Pattern Recognition in Genomic and Protein Sequences (J.G. Reich). New Algorithms for the Computation of Evolutionary Phylogenetic Trees (G.H. Gonnet). Modelling Protein Structure from Remote Sequence Similarity (W.R. Taylor). Genetic Algorithms in Protein Structure Prediction (F. Herrmann, S. Suhai). Statistical Models of Chromosome Evolution (M.J. Bishop). Deciphering the Genetic Message (C. Frontali). Index.
