Generalized Fish Genetics with Java
Dr. Ramachandra K
Fisheries
Generalized Fish Genetics with Java
Generalized Fish Genetics with Java provides a comprehensive exploration of the genetic principles that underpin fish biology, emphasizing the application of Java programming in genetic analysis. This book integrates theoretical knowledge with practical coding exercises, enabling readers to develop a deeper understanding of fish genetics and its implications for aquaculture and biodiversity. Through its structured approach, the text serves as an essential resource for researchers, students, and practitioners interested in advancing their skills in fish genetics and computational biology. The book covers a range of topics including genetic variation, population genetics, and the use of molecular markers in fish species. By incorporating Java into the study of genetics, this work equips readers with the tools necessary to analyze genetic data efficiently and effectively. Each chapter is designed to build upon the last, ensuring that readers not only grasp fundamental concepts but also gain hands-on experience in applying these concepts through programming.
- ISBN: 978-93-7973-023-7
- Pages: 180
- Language: English
Generalized Fish Genetics with Java provides a comprehensive exploration of the genetic principles that underpin fish biology, emphasizing the application of Java programming in genetic analysis. This book integrates theoretical knowledge with practical coding exercises, enabling readers to develop a deeper understanding of fish genetics and its implications for aquaculture and biodiversity. Through its structured approach, the text serves as an essential resource for researchers, students, and practitioners interested in advancing their skills in fish genetics and computational biology.
The book covers a range of topics including genetic variation, population genetics, and the use of molecular markers in fish species. By incorporating Java into the study of genetics, this work equips readers with the tools necessary to analyze genetic data efficiently and effectively. Each chapter is designed to build upon the last, ensuring that readers not only grasp fundamental concepts but also gain hands-on experience in applying these concepts through programming.
