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Genome-Wide Prediction and Analysis of Protein-Protein Functional Linkages in Bacteria
Details
Using genome sequencing, one can predict possible interactions among proteins. There are very few titles that focus on protein-protein interaction predictions in bacteria. The authors will describe these methods and further highlight its use to predict various biological pathways and complexity of the cellular response to various environmental conditions. Topics include analysis of complex genome-scale protein-protein interaction networks, effects of reference genome selection on prediction accuracy, and genome sequence templates to predict protein function.
Discusses using genome sequencing to predict possible interactions among proteins?? ?? Describes effects of reference genome selection on prediction accuracy? Explains how protein-protein interaction networks can be analyzed to understand cellular systems in detail
Inhalt
Introduction.- From genomes to protein functions.- Co-evolutionary signals within genome sequences reflect functional dependence of proteins.- Chromosomal proximity of genes as an indicator of functional linkage.- Analyses of complex genome-scale biological networks.- Applications of protein interaction networks.
Weitere Informationen
- Allgemeine Informationen
- Sprache Englisch
- Anzahl Seiten 72
- Herausgeber Springer New York
- Gewicht 125g
- Untertitel SpringerBriefs in Systems Biology 2
- Autor Vishal Acharya , Vijaykumar Yogesh Muley
- Titel Genome-Wide Prediction and Analysis of Protein-Protein Functional Linkages in Bacteria
- Veröffentlichung 28.07.2012
- ISBN 1461447046
- Format Kartonierter Einband
- EAN 9781461447047
- Jahr 2012
- Größe H235mm x B155mm x T5mm
- Lesemotiv Verstehen
- Auflage 2013
- GTIN 09781461447047