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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
Bioinformatics Unleashed: Advanced Techniques in Genomic Data Science explores the intersection of biology and computational science, addressing the challenges and innovations in analyzing genomic data. As the volume of biological data continues to expand exponentially due to advancements in next-generation sequencing technologies, there is a pressing need for sophisticated analytical tools and methodologies. This book aims to equip researchers, students, and professionals with the latest techniques in genomic data analysis, ranging from foundational algorithms to advanced machine learning applications. The text delves into various key areas, including genome sequencing and assembly, data mining, functional genomics, and personalized medicine. Through a comprehensive examination of both theoretical concepts and practical applications, it emphasizes the importance of interdisciplinary collaboration in harnessing bioinformatics for scientific discovery. Additionally, the book addresses the ethical implications of genomic research and the need for robust data management practices.
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
Bioinformatics Unleashed: Advanced Techniques in Genomic Data Science explores the intersection of biology and computational science, addressing the challenges and innovations in analyzing genomic data. As the volume of biological data continues to expand exponentially due to advancements in next-generation sequencing technologies, there is a pressing need for sophisticated analytical tools and methodologies. This book aims to equip researchers, students, and professionals with the latest techniques in genomic data analysis, ranging from foundational algorithms to advanced machine learning applications. The text delves into various key areas, including genome sequencing and assembly, data mining, functional genomics, and personalized medicine. Through a comprehensive examination of both theoretical concepts and practical applications, it emphasizes the importance of interdisciplinary collaboration in harnessing bioinformatics for scientific discovery. Additionally, the book addresses the ethical implications of genomic research and the need for robust data management practices.