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Bioinformatics of Genome Regulation and Structure II

Edited by Kolchanov, Nikolay; Hofestaedt, Ralf; Milanesi, Luciano 
Springer  2006  



Hardback  556 p.  ISBN 0387294503      £88.00
Note: Please add 3 weeks to the standard delivery times for this book

This work is a follow-up of the International Conference on Bioinformatics of Genome Regulation and Structure (BGRS-2004), held in Novosibirsk, Russia, in July 2004. It comprises the new results obtained while researching into the structure and function of molecular genetic systems belonging to different complexity level of their organization. The material covers the following: (i) regulatory genomic sequences; (ii) large-scale genome analysis and functional annotation; (iii) gene structure detection and prediction; (iv) comparative and evolutionary genomics; (v) computer analysis of genome polymorphism and evolution; computer analysis and modeling of transcription, splicing, and translation; structural computational biology; (vi) gene networks, signal transduction pathways, and genetically controlled metabolic pathways; (vii) data warehousing, knowledge discovery and data mining; and (viii) analysis of basic patterns of genome operation, organization, and evolution.

Of interest to scientists and engineers involved in basic and applied research and development in the fields of experimental and theoretical studies of the structure-function genome organization, computer technologies for designing the relevant software or databases, researchers working on various aspects of genome regulation and structure and molecular genetic systems operating in living organism

Contents

  • Computational structural and functional genomics.
  • Analysis of nucleosome formation potential and conformational properties of human J1-J2 type alpha satellite DNA.
  • Analysis of periodicities in the dinucleotide context of nucleosomal DNA using the method phase.
  • Computational structural and functional proteomics.
  • Computational evolutionary biology.
  • Computational system biology
  • New approaches to analysis of biomolecular data and processes.
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