Genome-Wide Prediction and Analysis of Protein-Protein Functional Linkages in Bacteria [electronic resource] / by Vijaykumar Yogesh Muley, Vishal Acharya.

Por: Muley, Vijaykumar Yogesh [author.]Colaborador(es): Acharya, Vishal [author.]Tipo de material: TextoTextoSeries SpringerBriefs in Systems Biology, 2Editor: New York, NY : Springer New York : Imprint: Springer, 2013Descripción: X, 60 p. 19 illus., 12 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9781461447054Trabajos contenidos: SpringerLink (Online service)Tema(s): Life sciences | Human genetics | Proteomics | Bioinformatics | Biological models | Life Sciences | Systems Biology | Bioinformatics | Human Genetics | ProteomicsFormatos físicos adicionales: Sin títuloClasificación CDD: 570 Clasificación LoC:QH301-705Recursos en línea: de clik aquí para ver el libro electrónico
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Springer eBooksResumen: Using genome sequencing, one can predict possible interactions among proteins. There are very few titles that focus onprotein-protein interaction predictions in bacteria. The authors willdescribe these methods and further highlight its use to predict various biological pathways andcomplexity 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.
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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.

Using genome sequencing, one can predict possible interactions among proteins. There are very few titles that focus onprotein-protein interaction predictions in bacteria. The authors willdescribe these methods and further highlight its use to predict various biological pathways andcomplexity 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.

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