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A Modern Approach to Computational Biology/ Edited by Alfie Davies

Contributor(s): Material type: TextTextPublication details: NEW YORK: Murphy & Moore Publishing, 2022.Description: VII, 232 PISBN:
  • 9781639870028
DDC classification:
  • 570.285 DAV-A
Summary: Computational biology refers to the science of using biological data to engineer algorithms or models for analyzing biological systems and relationships. It is one of the interdisciplinary approaches to the life sciences that draw from quantitative disciplines such as mathematics and information science. The introduction of a large amount of data in bioinformatics, molecular biology, and genomics makes computational biology a prominent discipline. Some of the subfields of computational biology are computational anatomy, biomodeling, genomics, neuroscience, pharmacology, evolutionary biology, cancer biology and neuropsychiatry. Some of the diverse topics covered in this book address the varied branches that fall under this category. Different approaches, evaluations, methodologies and advanced studies on computational biology have been included herein. This book includes contributions of experts and scientists which will provide innovative insights into this field.
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Holdings
Item type Current library Home library Call number Status Date due Barcode
Book Book Dept. of Biochemistry General Stacks Dept. of Biochemistry 570.285 DAV-A (Browse shelf(Opens below)) Available BCH4227

Computational biology refers to the science of using biological data to engineer algorithms or models for analyzing biological systems and relationships. It is one of the interdisciplinary approaches to the life sciences that draw from quantitative disciplines such as mathematics and information science. The introduction of a large amount of data in bioinformatics, molecular biology, and genomics makes computational biology a prominent discipline. Some of the subfields of computational biology are computational anatomy, biomodeling, genomics, neuroscience, pharmacology, evolutionary biology, cancer biology and neuropsychiatry. Some of the diverse topics covered in this book address the varied branches that fall under this category. Different approaches, evaluations, methodologies and advanced studies on computational biology have been included herein. This book includes contributions of experts and scientists which will provide innovative insights into this field.

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