Applied Computational Genomics: Translational Bioinformatics
Unlocking the Transformative Power of Genomics
In the rapidly evolving field of genomics, computational techniques and bioinformatics play a pivotal role in unlocking the vast potential of genomic data. 'Applied Computational Genomics: Translational Bioinformatics' is an authoritative guide that delves into the intersection of these disciplines, providing a comprehensive understanding of how to harness genomic information for transformative applications in healthcare and medicine.
Key Features
- Comprehensive Coverage: Covers the entire spectrum of computational genomics, from data acquisition and analysis to interpretation and application.
- Practical Approach: Provides hands-on examples and case studies, empowering readers to apply the concepts and methodologies in real-world scenarios.
- Interdisciplinary Perspective: Blends expertise from computer science, biology, and medicine to offer a holistic understanding of the field.
- Cutting-Edge Research: Presents the latest advancements and emerging trends in computational genomics and translational bioinformatics.
- Expert Contributors: Written by renowned researchers and practitioners, ensuring authoritative and up-to-date content.
Target Audience
This book is tailored for:
5 out of 5
Language | : | English |
File size | : | 3548 KB |
Text-to-Speech | : | Enabled |
Enhanced typesetting | : | Enabled |
Screen Reader | : | Supported |
Print length | : | 330 pages |
Paperback | : | 183 pages |
Item Weight | : | 1.24 pounds |
Dimensions | : | 8.26 x 0.42 x 11.68 inches |
- Researchers and scientists in academia and industry involved in computational genomics or translational bioinformatics.
- Clinicians and healthcare professionals seeking to integrate genomics into their practice.
- Students and graduate students pursuing degrees in bioinformatics, genomics, or related fields.
- Policymakers and decision-makers interested in the ethical and societal implications of genomics.
Benefits of Reading
By reading 'Applied Computational Genomics: Translational Bioinformatics,' you will gain:
- A comprehensive understanding of the principles and techniques of computational genomics.
- An in-depth knowledge of translational bioinformatics and its applications in healthcare and medicine.
- The ability to apply computational genomics tools and methodologies to analyze and interpret genomic data.
- Insights into the latest advancements and emerging trends in the field.
- A solid foundation for conducting research and developing applications in computational genomics and translational bioinformatics.
Table of Contents
- to Computational Genomics
- Data Acquisition and Preprocessing
- Genome Assembly and Annotation
- Variant Analysis and Interpretation
- Machine Learning and Artificial Intelligence in Genomics
- Translational Applications in Precision Medicine
- Disease Diagnosis and Prognosis
- Personalized Healthcare and Pharmacogenomics
- Bioinformatics Ethics and Societal Implications
- Future Perspectives and Challenges
'Applied Computational Genomics: Translational Bioinformatics' is an essential resource for anyone seeking to harness the transformative power of genomics. This comprehensive guide empowers readers with the knowledge and tools to drive innovation in healthcare, advance personalized medicine, and improve human health outcomes.
Free Download your copy today and unlock the vast potential of computational genomics and translational bioinformatics!
5 out of 5
Language | : | English |
File size | : | 3548 KB |
Text-to-Speech | : | Enabled |
Enhanced typesetting | : | Enabled |
Screen Reader | : | Supported |
Print length | : | 330 pages |
Paperback | : | 183 pages |
Item Weight | : | 1.24 pounds |
Dimensions | : | 8.26 x 0.42 x 11.68 inches |
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5 out of 5
Language | : | English |
File size | : | 3548 KB |
Text-to-Speech | : | Enabled |
Enhanced typesetting | : | Enabled |
Screen Reader | : | Supported |
Print length | : | 330 pages |
Paperback | : | 183 pages |
Item Weight | : | 1.24 pounds |
Dimensions | : | 8.26 x 0.42 x 11.68 inches |