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- Publisher: States Academic Press
- ISBN-10: 1639891218
- ISBN-13: 9781639891214
- Format: 21.6 x 27.9 x 1.6 cm, hardcover
- Language: English
- SAVE -10% with code: EXTRA
Computational Biology: Theory, Models and Methods (e-book) (used book) | bookbook.eu
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Description
Computational biology uses biological data to develop algorithms or models which help in understanding biological systems and relationships. It includes many aspects of bioinformatics. There is a large amount of data which is analysed in the fields of molecular biology and genomics. Research in computational biology deals with developing analytical methods for interpreting biological information. Computational biology has been used in classifying the human genome, creating accurate models of the human brain and assisting in modeling biological systems. It makes use of concepts from the fields of biology, applied mathematics, statistics, biochemistry, chemistry, biophysics, molecular biology, genetics, genomics, computer science and evolution. The book studies, analyses and upholds the pillars of computational biology and its utmost significance in modern times. It elucidates the concepts and innovative models around prospective developments with respect to this discipline. This book, with its detailed analyses and data, will prove immensely beneficial to professionals and students involved in this area at various levels.
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- Publisher: States Academic Press
- ISBN-10: 1639891218
- ISBN-13: 9781639891214
- Format: 21.6 x 27.9 x 1.6 cm, hardcover
- Language: English English
Computational biology uses biological data to develop algorithms or models which help in understanding biological systems and relationships. It includes many aspects of bioinformatics. There is a large amount of data which is analysed in the fields of molecular biology and genomics. Research in computational biology deals with developing analytical methods for interpreting biological information. Computational biology has been used in classifying the human genome, creating accurate models of the human brain and assisting in modeling biological systems. It makes use of concepts from the fields of biology, applied mathematics, statistics, biochemistry, chemistry, biophysics, molecular biology, genetics, genomics, computer science and evolution. The book studies, analyses and upholds the pillars of computational biology and its utmost significance in modern times. It elucidates the concepts and innovative models around prospective developments with respect to this discipline. This book, with its detailed analyses and data, will prove immensely beneficial to professionals and students involved in this area at various levels.
Reviews