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Overview
In past decades, the area of bioinformatics has proved to be both dynamic and vital, producing a wide spectrum of novel approaches and assuming an increasingly important role in modern bio-technological development. In Biomedical Informatics, expert researchers explore cutting-edge new advances in the field, providing an overview of novel cyberinfrastructures which are currently under development in various bio-medical centers across the world. Chapters demonstrate various architectures for large-scale collaboration, offer modern approaches currently used in various areas of bioinformatics, and highlight the software challenges associated with large-scale biomedical informatics. Composed in the highly successful Methods in Molecular Biology™ series format, chapters include a brief introduction, detailed methods, and a Notes section which shares tips on troubleshooting and avoiding known pitfalls.
Wide-ranging and innovative, Biomedical Informatics is an essential manual for newcomers to this area, as well as an invaluable addition to the laboratories and offices of the most practiced researchers.
Synopsis
In past decades, the area of bioinformatics has proved to be both dynamic and vital, producing a wide spectrum of novel approaches and assuming an increasingly important role in modern bio-technological development. In Biomedical Informatics, expert researchers explore cutting-edge new advances in the field, providing an overview of novel cyberinfrastructures which are currently under development in various bio-medical centers across the world. Chapters demonstrate various architectures for large-scale collaboration, offer modern approaches currently used in various areas of bioinformatics, and highlight the software challenges associated with large-scale biomedical informatics. Composed in the highly successful Methods in Molecular Biology™ series format, chapters include a brief introduction, detailed methods, and a Notes section which shares tips on troubleshooting and avoiding known pitfalls.
Wide-ranging and innovative, Biomedical Informatics is an essential manual for newcomers to this area, as well as an invaluable addition to the laboratories and offices of the most practiced researchers.
Doody Review Services
Reviewer:Ruben Mestril, Ph.D.(Loyola University Medical Center)
Description:This volume in the Methods in Molecular Biology series provides an overview of novel cyberinfrastructures that are fundamental to present-day biomedical informatics. It covers different approaches used in biomedical informatics as well as different approaches and strategies used for large scale collaborative bioinformatics projects. The authors present a coherent set of examples, focusing on biomedical information access, biomedical decision making, as well as information and technology used in biomedical informatics. The 12 chapters deal with topics such as advanced computational methods, genomics and bioinformatics, data integration and data mining, protein structure prediction models, and computational system biology. The editor has recruited for this task an excellent team of experts to cover a diverse set of topics.
Purpose:This book introduces researchers to a series of innovative techniques for integrating and federating data from clinical and molecular studies. These methods permit researchers to enhance data collection, storage, analysis, and knowledge discovery processes. It offers a diversity of examples on how to develop tools for specific biomedical informatics tasks. This will be a valuable resource for all biomedical informatics researchers interested in managing data and making the most of their research.
Audience:Scientists involved in biomedical informatics (computational biologists, statisticians, mathematicians, computer scientists) who are active in the field of biomedical research are the intended audience. This includes both first-time and seasoned students and biomedical researchers who are interested in using informatics technologies in their laboratories. The book describes the fundamental issues and questions in the field, and reviews the different types of biomedical data resources and open source tools needed to fully use biomedical data. It provides interesting examples on approaches to create, refine, and retest models to accurately reflect observations in biomedical research (gene regulation, protein folding and structure, etc.). It is clear that given the general scope of this book, most investigators engaged in the use of biomedical informatics will find something of interest.
Features:Biomedical informatics involves the development of models that reconstruct the dynamics and the quantitative properties of the building blocks of a biological system. This includes the creation of new computational models with the purpose of modeling biological processes by integrating information from the literature, text mining, and developing online databases and repositories for sharing data and models. Among the most interesting approaches is in chapter 5 on the system biology of gene regulation, which is dedicated to a systems biology approach to the study of gene regulation and to setting up data integration models with the results obtained. Another interesting chapter is chapter 8 on the application of bioinformatics to protein structure, which is dedicated to the understanding of protein-protein interactions and how to predict the formation of oligomeric structures in biomolecules using bioinformatics. These approaches have the potential of providing information that will translate into important applications in biomedical research.
Assessment:This book provides a good balance among the different aspects of the use of biomedical informatics in science. It also presents a number of valuable approaches currently used in biomedical research. This is an excellent contribution to the literature dedicated to the study of bioinformatics in biomedical sciences.
Editorials
Reviewer: Ruben Mestril, PhD(Loyola University Medical Center)
Description: This volume in the Methods in Molecular Biology series provides an overview of novel cyberinfrastructures that are fundamental to present-day biomedical informatics. It covers different approaches used in biomedical informatics as well as different approaches and strategies used for large scale collaborative bioinformatics projects. The authors present a coherent set of examples, focusing on biomedical information access, biomedical decision making, as well as information and technology used in biomedical informatics. The 12 chapters deal with topics such as advanced computational methods, genomics and bioinformatics, data integration and data mining, protein structure prediction models, and computational system biology. The editor has recruited for this task an excellent team of experts to cover a diverse set of topics.
Purpose: This book introduces researchers to a series of innovative techniques for integrating and federating data from clinical and molecular studies. These methods permit researchers to enhance data collection, storage, analysis, and knowledge discovery processes. It offers a diversity of examples on how to develop tools for specific biomedical informatics tasks. This will be a valuable resource for all biomedical informatics researchers interested in managing data and making the most of their research.
Audience: Scientists involved in biomedical informatics (computational biologists, statisticians, mathematicians, computer scientists) who are active in the field of biomedical research are the intended audience. This includes both first-time and seasoned students and biomedical researchers who are interested in using informatics technologies in their laboratories. The book describes the fundamental issues and questions in the field, and reviews the different types of biomedical data resources and open source tools needed to fully use biomedical data. It provides interesting examples on approaches to create, refine, and retest models to accurately reflect observations in biomedical research (gene regulation, protein folding and structure, etc.). It is clear that given the general scope of this book, most investigators engaged in the use of biomedical informatics will find something of interest.
Features: Biomedical informatics involves the development of models that reconstruct the dynamics and the quantitative properties of the building blocks of a biological system. This includes the creation of new computational models with the purpose of modeling biological processes by integrating information from the literature, text mining, and developing online databases and repositories for sharing data and models. Among the most interesting approaches is in chapter 5 on the system biology of gene regulation, which is dedicated to a systems biology approach to the study of gene regulation and to setting up data integration models with the results obtained. Another interesting chapter is chapter 8 on the application of bioinformatics to protein structure, which is dedicated to the understanding of protein-protein interactions and how to predict the formation of oligomeric structures in biomolecules using bioinformatics. These approaches have the potential of providing information that will translate into important applications in biomedical research.
Assessment: This book provides a good balance among the different aspects of the use of biomedical informatics in science. It also presents a number of valuable approaches currently used in biomedical research. This is an excellent contribution to the literature dedicated to the study of bioinformatics in biomedical sciences.