Computational Approaches: A worm case study - Couverture souple

Mahdavi, Mahmood A.; Lin, Yen-Han

9783838326306: Computational Approaches: A worm case study

Couverture souple

ISBN 10 : 383832630X ISBN 13 : 9783838326306

Editeur : LAP LAMBERT Academic Publishing, 2010

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Systems biology seeks to integrate high-throughput biological studies to understand how biological systems function, by studying the relationships and interactions between various parts of a biological system. The metabolic networks, as a systemic cellular organization, can be reconstructed based on genomic information. The center- piece of this information is protein-protein interaction map of the studied organism. Signature content of proteins was utilized to reveal protein interactions upon a notion that when two proteins share signature in their primary structures, the two proteins are more likely to interact. Protein interaction methods often predict true positive interactions along with numerous false positive interactions. A global algorithm was also proposed to reduce the number of false positives. The predicted interactions were incorporated into the metabolic network of C. elegans, resulting in new interactions among metabolic pathways. This case study of integrating genomic information with biochemical knowledge helps biologists to improve the extent of their understanding of biological networks using huge genomic information

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� propos des auteurs

"Mahmood A. Mahdavi, Assistant professor, Department of Chemical Engineering, Ferdowsi University of Mashhad, Mashhad, 9177948974, Iran."

"Mahmood A. Mahdavi, Assistant professor, Department of Chemical Engineering, Ferdowsi University of Mashhad, Mashhad, 9177948974, Iran."

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: LAP LAMBERT Academic Publishing
Date d'�dition: 2010
Langue: anglais
ISBN 10: 383832630X
ISBN 13: 9783838326306
Reliure: Broch�
Nombre de pages: 140
Coordonn�es du fabricant: non disponible
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Computational Approaches

Mahmood A. Mahdavi

Edit� par LAP LAMBERT Academic Publishing Sep 2010, 2010

ISBN 10 : 383832630X ISBN 13 : 9783838326306

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Systems biology seeks to integrate high-throughput biological studies to understand how biological systems function, by studying the relationships and interactions between various parts of a biological system. The metabolic networks, as a systemic cellular organization, can be reconstructed based on genomic information. The center- piece of this information is protein-protein interaction map of the studied organism. Signature content of proteins was utilized to reveal protein interactions upon a notion that when two proteins share signature in their primary structures, the two proteins are more likely to interact. Protein interaction methods often predict true positive interactions along with numerous false positive interactions. A global algorithm was also proposed to reduce the number of false positives. The predicted interactions were incorporated into the metabolic network of C. elegans, resulting in new interactions among metabolic pathways. This case study of integrating genomic information with biochemical knowledge helps biologists to improve the extent of their understanding of biological networks using huge genomic information 140 pp. Englisch. N� de r�f. du vendeur 9783838326306

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Computational Approaches

Mahmood A. Mahdavi|Yen-Han Lin

Edit� par LAP LAMBERT Academic Publishing, 2010

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mahdavi Mahmood A. Mahmood A. Mahdavi, Assistant professor, Department of Chemical Engineering, Ferdowsi University of Mashhad, Mashhad, 9177948974, Iran. Autor/Autorin: Lin Yen-Han Mahmood A. Mahdavi, Assistant profes. N� de r�f. du vendeur 5413265

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Computational Approaches

Mahmood A. Mahdavi

Edit� par LAP LAMBERT Academic Publishing Sep 2010, 2010

ISBN 10 : 383832630X ISBN 13 : 9783838326306

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Systems biology seeks to integrate high-throughput biological studies to understand how biological systems function, by studying the relationships and interactions between various parts of a biological system. The metabolic networks, as a systemic cellular organization, can be reconstructed based on genomic information. The center- piece of this information is protein-protein interaction map of the studied organism. Signature content of proteins was utilized to reveal protein interactions upon a notion that when two proteins share signature in their primary structures, the two proteins are more likely to interact. Protein interaction methods often predict true positive interactions along with numerous false positive interactions. A global algorithm was also proposed to reduce the number of false positives. The predicted interactions were incorporated into the metabolic network of C. elegans, resulting in new interactions among metabolic pathways. This case study of integrating genomic information with biochemical knowledge helps biologists to improve the extent of their understanding of biological networks using huge genomic informationVDM Verlag, Dudweiler Landstra�e 99, 66123 Saarbr�cken 140 pp. Englisch. N� de r�f. du vendeur 9783838326306

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Computational Approaches : A worm case study

Mahmood A. Mahdavi

Edit� par LAP LAMBERT Academic Publishing, 2010

ISBN 10 : 383832630X ISBN 13 : 9783838326306

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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Systems biology seeks to integrate high-throughput biological studies to understand how biological systems function, by studying the relationships and interactions between various parts of a biological system. The metabolic networks, as a systemic cellular organization, can be reconstructed based on genomic information. The center- piece of this information is protein-protein interaction map of the studied organism. Signature content of proteins was utilized to reveal protein interactions upon a notion that when two proteins share signature in their primary structures, the two proteins are more likely to interact. Protein interaction methods often predict true positive interactions along with numerous false positive interactions. A global algorithm was also proposed to reduce the number of false positives. The predicted interactions were incorporated into the metabolic network of C. elegans, resulting in new interactions among metabolic pathways. This case study of integrating genomic information with biochemical knowledge helps biologists to improve the extent of their understanding of biological networks using huge genomic information. N� de r�f. du vendeur 9783838326306

Contacter le vendeur