Genomics and Proteomics Engineering in Medicine and Biology - Metin Akay
The biological sciences have become more quantitative and information-driven
since emerging computational and mathematical tools facilitate collection and
analysis of vast amounts of biological data. Complexity analysis of biological
systems provides biological knowledge for the organization, management, and
mining of biological data by using advanced computational tools. The biological
data are inherently complex, nonuniform, and collected at multiple temporal and
spatial scales. The investigations of complex biological systems and processes
require an extensive collaboration among biologists, mathematicians, computer
scientists, and engineers to improve our understanding of complex biological
process from gene to system. Lectures in the summer school expose attendees to
the latest developments in these emerging computational technologies and facilitate
rapid diffusion of these mathematical and computational tools in the biological
sciences. These computational tools have become powerful tools for the study of
complex biological systems and signals and can be used for characterizing variability
and uncertainty of biological signals across scales of space and time since the
biological signals are direct indicators of the biological state of the corresponding
cells or organs in the body.
The integration and application of mathematics, engineering, physics and computer
science have been recently used to better understand the complex biological
systems by examining the structure and dynamics of cell and organ functions.
This emerging field called “Genomics and Proteomics Engineering” has gained
tremendous interest among molecular and cellular researchers since it provides a
continuous spectrum of knowledge. However, this emerging technology has not
been adequately presented to biological and bioengineering researchers. For this
reason, an increasing demand can be found for interdisciplinary interactions
among biologists, engineers, mathematicians, computer scientists and medical
researchers in these emerging technologies to provide the impetus to understand
and develop reliable quantitative answers to the major integrative biological and
biomedical challenges.
The main objective of this edited book is to provide information for biological
science and biomedical engineering students and researchers in genomics and proteomics
sciences and systems biology. Although an understanding of genes and
proteins are important, the focus is on understanding a system’s structure and
dynamics of several gene regulatory networks and their biochemical interactions.
System-level understanding of biology is derived using mathematical and engineering
methods to understand complex biological processes. It exposes readers with
biology background to the latest developments in proteomics and genomics engineering.
It also addresses the needs of both students and postdoctoral fellows in computer
science and mathematics who are interested in doing research in biology and
bioengineering since the book provides exceptional insights into the fundamental
challenges in biology.
I am grateful to Jeanne Audino of the IEEE Press and Lisa Van Horn of Wiley for
their help during the editing of this book. Working in concert with them and the contributors
really helped me with content development and to manage the peer-review
process.
Finally, many thanks to my wife, Dr. Yasemin M. Akay, and our son, Altug R.
Akay, for their support, encouragement, and patience. They have been my driving
source. I also thank Jeremy Romain for his help in rearranging the chapters and
getting the permission forms from the contributors.
Tempe, Arizona
September 2006
METIN AKAY
Download
*
The biological sciences have become more quantitative and information-driven
since emerging computational and mathematical tools facilitate collection and
analysis of vast amounts of biological data. Complexity analysis of biological
systems provides biological knowledge for the organization, management, and
mining of biological data by using advanced computational tools. The biological
data are inherently complex, nonuniform, and collected at multiple temporal and
spatial scales. The investigations of complex biological systems and processes
require an extensive collaboration among biologists, mathematicians, computer
scientists, and engineers to improve our understanding of complex biological
process from gene to system. Lectures in the summer school expose attendees to
the latest developments in these emerging computational technologies and facilitate
rapid diffusion of these mathematical and computational tools in the biological
sciences. These computational tools have become powerful tools for the study of
complex biological systems and signals and can be used for characterizing variability
and uncertainty of biological signals across scales of space and time since the
biological signals are direct indicators of the biological state of the corresponding
cells or organs in the body.
The integration and application of mathematics, engineering, physics and computer
science have been recently used to better understand the complex biological
systems by examining the structure and dynamics of cell and organ functions.
This emerging field called “Genomics and Proteomics Engineering” has gained
tremendous interest among molecular and cellular researchers since it provides a
continuous spectrum of knowledge. However, this emerging technology has not
been adequately presented to biological and bioengineering researchers. For this
reason, an increasing demand can be found for interdisciplinary interactions
among biologists, engineers, mathematicians, computer scientists and medical
researchers in these emerging technologies to provide the impetus to understand
and develop reliable quantitative answers to the major integrative biological and
biomedical challenges.
The main objective of this edited book is to provide information for biological
science and biomedical engineering students and researchers in genomics and proteomics
sciences and systems biology. Although an understanding of genes and
proteins are important, the focus is on understanding a system’s structure and
dynamics of several gene regulatory networks and their biochemical interactions.
System-level understanding of biology is derived using mathematical and engineering
methods to understand complex biological processes. It exposes readers with
biology background to the latest developments in proteomics and genomics engineering.
It also addresses the needs of both students and postdoctoral fellows in computer
science and mathematics who are interested in doing research in biology and
bioengineering since the book provides exceptional insights into the fundamental
challenges in biology.
I am grateful to Jeanne Audino of the IEEE Press and Lisa Van Horn of Wiley for
their help during the editing of this book. Working in concert with them and the contributors
really helped me with content development and to manage the peer-review
process.
Finally, many thanks to my wife, Dr. Yasemin M. Akay, and our son, Altug R.
Akay, for their support, encouragement, and patience. They have been my driving
source. I also thank Jeremy Romain for his help in rearranging the chapters and
getting the permission forms from the contributors.
Tempe, Arizona
September 2006
METIN AKAY
Download
*