Systems Bioinformatics: An Engineering Case-Based Approach

 
9781596931244: Systems Bioinformatics: An Engineering Case-Based Approach

Synopsis

Powerful engineering tools can help solve today's complex biological and biomedical research challenges - and this first-of-its-kind guide is paving the way. This trail-blazing work gives engineers a quantitative systems approach to bioinformatics research using computational tools drawn from technical disciplines. It presents biological processes in an engineering context to help engineers use their technical skills in solving novel biological problems and also to facilitate reverse engineering from biology in developing synthetic biological devices. This first-of-its-kind volume explores how the knowledge bases of various technical disciplines relate to, and are observed, in biological systems. A major milestone in systems biology, this groundbreaking work points engineers to new frontiers in the convergence of engineering and biological research.

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About the Author

Gil Alterovitz is on the faculty at Harvard Medical School, where he is engaged in research that applies engineering systems approaches to biomedical problems. Dr. Alterovitz is a part of the Children's Hospital Informatics Program at the Harvard/MIT Division of Health Sciences and Technology. He is also affiliated with the MIT Department of Electrical Engineering and Computer Science and Harvard University, where he is teaching a class on the topic of systems bioinformatics this year. He earned his Ph.D. in Electrical and Biomedical Engineering at MIT.

Marco F. Ramoni is an assistant professor of Pediatrics and Medicine at Harvard Medical School and an assistant professor of Health Sciences and Technology at Harvard and the Massachusetts Institute of Technology (MIT). He is also associate director of Bioinformatics at the Harvard Partners Center for Genetics and Genomics (HPCGG) and faculty member at the Children's Hospital Informatics Program (CHIP). He received his Ph.D. in Biomedical Engineering from the University of Pavia, Italy.

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9781596931251: Sytems Bioinformatics

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ISBN 10:  1596931256 ISBN 13:  9781596931251
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