Automated Gene Function Prediction-applying Ontology and Machine Learning - Couverture souple

Arunachalam, Vinayagam

Couverture souple

ISBN 10 : 3836421577 ISBN 13 : 9783836421577

Editeur : VDM Verlag Dr. Mueller E.K., 2007

Synopsis

The objective of biological research is to understand the structural and the functional aspects of life. Though living organisms are diverse in almost every aspect, they are made of cells, and share the same machinery for their basic functions. The structural and functional aspect of life is traceable to genes, given that the information from the genes determine the protein composition and thereby the function of the cell. Hence, predicting the functions of individual genes is the gate way for understanding the blueprint of life. The rationale behind the ongoing genome sequencing projects is to utilize the sequence information to understand the genes and their functions. The exponential increase in the amount of sequence information enunciated the need for an automated approach to acquire knowledge about their biological function. This book introduces the general strategies used in the automated annotation of genes and protein sequences. Specifically, it describes a method utilizing the machine learning approach to predict gene function. This book is addressed to researchers involved in predicting gene function and applying machine learning algorithms to other biological problems.

A propos du livre

Présentation de l'éditeur

Revision with unchanged content. The objective of biological research is to understand the structural and the functional aspects of life. Though living organisms are diverse in almost every aspect, they are made of cells, and share the same machinery for their basic functions. The structural and functional aspect of life is traceable to genes, given that the information from the genes determine the protein composition and thereby the function of the cell. Hence, predicting the functions of individual genes is the gate way for understanding the blueprint of life. The rationale behind the ongoing genome sequencing projects is to utilize the sequence information to understand the genes and their functions. The exponential increase in the amount of sequence information enunciated the need for an automated approach to acquire knowledge about their biological function. This book introduces the general strategies used in the automated annotation of genes and protein sequences. Specifically, it describes a method utilizing the machine learning approach to predict gene function. This book is addressed to researchers involved in predicting gene function and applying machine learning algorithms to other biological problems.

Biographie de l'auteur

obtained his doctoral degree from the University of Heidelberg and currently holding a post-doctoral research position at the Max- Delbrueck Centre for Molecular Medicine, Berlin, Germany. His main research interests are genome annotation and protein interactome analysis.

Détails de l'édition

• Éditeur: VDM Verlag Dr. Mueller E.K.
• Date d'édition: 2007
• Langue: anglais
• ISBN 10: 3836421577
• ISBN 13: 9783836421577
• Reliure: Broché
• Nombre de pages: 112
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible