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Computational Methods in Genome Research: Micro-, Meso-, and Macro-Approaches in Physics de Sandor Suhai

Computational Methods in Genome Research: Micro-, Meso-, and Macro-Approaches in Physics: Language of Science

Autor Sandor Suhai, Sandor Ed. Suhai, International Symposium on Computational Methods in Genome R
en Limba Engleză Hardback – 30 apr 1994
Chapters originating as plenary lectures at the July 1992 symposium provide a bridge between experimental databases (information) on the one hand and theoretical concepts (biological and genetic knowledge) on the other. Among the topics: informatics and experiments for the Human Genome Project; the
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Specificații

ISBN-13: 9780306447129
ISBN-10: 0306447126
Pagini: 227
Greutate: 0.64 kg
Ediția:New.
Editura: Springer
Seria Language of Science

Locul publicării:Boston, MA, United States

Public țintă

Research

Cuprins

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.