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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
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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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