Protein-protein Interactions and Networks
Identification, Computer Analysis, and Prediction
Herausgegeben: Panchenko, Anna; Przytycka, Teresa M.
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Integrates different approaches from bioinformatics, biochemistry, computational analysis and systems biology to offer the reader a global view of the diverse data on protein-protein interactions and protein interaction networksProtein-protein interactions and networks: identification, analysis and prediction brings together the descriptions of experimental techniques and expounds on different computational algorithms for protein network analysis and prediction of protein and domain interactionsEach chapter contains a description of the problem, a review of methods and algorithms, a list of on...
Integrates different approaches from bioinformatics, biochemistry, computational analysis and systems biology to offer the reader a global view of the diverse data on protein-protein interactions and protein interaction networks
Protein-protein interactions and networks: identification, analysis and prediction brings together the descriptions of experimental techniques and expounds on different computational algorithms for protein network analysis and prediction of protein and domain interactions
Each chapter contains a description of the problem, a review of methods and algorithms, a list of online resources, conclusions and future directions
Offering broad coverage on the topic, this book will be of interest to researchers from academia and the bioinformatics industry; will also be of use to graduate students studying the topic
Protein-protein interactions and networks: identification, analysis and prediction brings together the descriptions of experimental techniques and expounds on different computational algorithms for protein network analysis and prediction of protein and domain interactions
Each chapter contains a description of the problem, a review of methods and algorithms, a list of online resources, conclusions and future directions
Offering broad coverage on the topic, this book will be of interest to researchers from academia and the bioinformatics industry; will also be of use to graduate students studying the topic
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