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Genome-Wide Prediction and Analysis of Protein-Protein Functional Linkages in Bacteria
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 t...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York, NY :
Springer New York : Imprint: Springer,
2013.
|
| Edición: | 1st ed. 2013. |
| Colección: | SpringerBriefs in Systems Biology,
2 |
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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| 001 | 978-1-4614-4705-4 | ||
| 003 | DE-He213 | ||
| 005 | 20220127105426.0 | ||
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| 008 | 120727s2013 xxu| s |||| 0|eng d | ||
| 020 | |a 9781461447054 |9 978-1-4614-4705-4 | ||
| 024 | 7 | |a 10.1007/978-1-4614-4705-4 |2 doi | |
| 050 | 4 | |a QH324.2-324.25 | |
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| 100 | 1 | |a Muley, Vijaykumar Yogesh. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Genome-Wide Prediction and Analysis of Protein-Protein Functional Linkages in Bacteria |h [electronic resource] / |c by Vijaykumar Yogesh Muley, Vishal Acharya. |
| 250 | |a 1st ed. 2013. | ||
| 264 | 1 | |a New York, NY : |b Springer New York : |b Imprint: Springer, |c 2013. | |
| 300 | |a X, 60 p. 19 illus., 12 illus. in color. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a SpringerBriefs in Systems Biology, |x 2193-4754 ; |v 2 | |
| 505 | 0 | |a 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. | |
| 520 | |a 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. | ||
| 650 | 0 | |a Bioinformatics. | |
| 650 | 0 | |a Medical genetics. | |
| 650 | 0 | |a Proteins . | |
| 650 | 1 | 4 | |a Computational and Systems Biology. |
| 650 | 2 | 4 | |a Bioinformatics. |
| 650 | 2 | 4 | |a Medical Genetics. |
| 650 | 2 | 4 | |a Protein Biochemistry. |
| 700 | 1 | |a Acharya, Vishal. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9781461447061 |
| 776 | 0 | 8 | |i Printed edition: |z 9781461447047 |
| 830 | 0 | |a SpringerBriefs in Systems Biology, |x 2193-4754 ; |v 2 | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-1-4614-4705-4 |z Texto Completo |
| 912 | |a ZDB-2-SBL | ||
| 912 | |a ZDB-2-SXB | ||
| 950 | |a Biomedical and Life Sciences (SpringerNature-11642) | ||
| 950 | |a Biomedical and Life Sciences (R0) (SpringerNature-43708) | ||