Bioinformatics
Editat de Ralf Hofestädt, Thomas Lengauer, Markus Löffler, Dietmar Schomburgen Limba Engleză Paperback – 6 aug 1997
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Specificații
ISBN-13: 9783540633709
ISBN-10: 3540633707
Pagini: 244
Ilustrații: XI, 228 p.
Dimensiuni: 155 x 235 x 14 mm
Greutate: 0.38 kg
Ediția:1997
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3540633707
Pagini: 244
Ilustrații: XI, 228 p.
Dimensiuni: 155 x 235 x 14 mm
Greutate: 0.38 kg
Ediția:1997
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
Molecular computing: From conformational pattern recognition to complex processing networks.- A look at the visual modeling of plants using L-systems.- Bioinformatics and cheminformatics in the drug discovery cycle.- New developments in linking of biological databases and computer-generation of annotation: SWISS-PROT and its computer-annotated supplement TREMBL.- EpoDB: An erythropoiesis gene expression database in progress.- Recent advances in molecular distance geometry.- Three models of gene regulation in E. coli.- A new method to develop highly specific models for regulatory DNA regions.- Towards an object-oriented framework for the modeling of integrated metabolic processes.- TRRD and COMPEL databases on transcription linked to TRANSFACAS as tools for analysis and recognition of regulatory sequences.- Integrating heterogeneous datasets in genomic mapping: Radiation hybrids, YACs, genes and STS markers over the entire human chromosome X.- A clustering approach to Generalized Tree Alignment with application to Alu repeats.- Simple folding model for HP lattice proteins.- Fast protein fold recognition and accurate sequence-structure alignment.- Carbohydrates: Second-class citizens in biomedicine and in bioinformatics?.- Structural constraints and neutrality in RNA.- A systematic approach to finding new lead structures having biological activity.- Visualization and analysis of the complete yeast genome.- Virtual reality modeling for structural biology.- Evolutionary grammars: A grammatical model for genome evolution.- From DNA recombination to DNA computing via formal languages.