Human Genome Informatics: Translating Genes into Health examines the most commonly used electronic tools for translating genomic information into clinically meaningful formats. By analyzing and comparing interpretation methods of whole genome data, the book discusses the possibilities of their application in genomic and translational medicine. Topics such as electronic decision-making tools, translation algorithms, interpretation and translation of whole genome data for rare diseases are thoroughly explored. In addition, discussions of current human genome databases and the possibilities of big data in genomic medicine are presented.
With an updated approach on recent techniques and current human genomic databases, the book is a valuable source for students and researchers in genome and medical informatics. It is also ideal for workers in the bioinformatics industry who are interested in recent developments in the field.
- Provides an overview of the most commonly used electronic tools to translate genomic information
- Brings an update on the existing human genomic databases that directly impact genome interpretation
- Summarizes and comparatively analyzes interpretation methods of whole genome data and their application in genomic medicine
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1. Human Genome Informatics: Coming of Age 2. Creating Transparent and Reproducible Pipelines: Best Practices for Tools, Data, and 3. How Cytogenetics Paradigms Shape Decision Making in Translational Genomics 4. An Introduction to Tools, Databases, and Practical Guidelines for NGS Data Analysis 5. Proteomics and Metabolomics Data Analysis for Translational Medicine 6. Incentives for Human Genome Variation Data Sharing 7. A Review of Tools to Automatically Infer Chromosomal Positions From dbSNP and HGVS Genetic Variants 8. Translating Genomic Information to Rationalize Drug Use 9. Minimum Information Required for Pharmacogenomics Experiments 10. Human Genomic Databases in Translational Medicine 11. Artificial Intelligence: The Future Landscape of Genomic Medical Diagnosis: Dataset, In Silico Artificial Intelligent Clinical Information, and Machine Learning Systems 12. Genomics England: The Future of Genomic Medical Diagnosis: Governmental Scale Clinical Sequencing and Potential Walled-Garden Impact on Global Data Sharing
Dr. Christophe G. Lambert's research interests span bioinformatics, cheminformatics and clinical research informatics. He has spent his career developing informatics solutions for biomedical research that has been used by thousands of scientists.
Darrol Baker's research interests focus on bioinformatics, particularly in making lifestyle decisions based on genomic information.
Patrinos, George P.
George Patrinos is Professor of Pharmacogenomics at the University of Patras School of Health Sciences (Department of Pharmacy) in Patras, Greece with Adjunct positions in Rotterdam, the Netherlands and Al-Ain, United Arab Emirates. His research interests span the fields of pharmacogenomics and personalised medicine, focused on psychiatric diseases and hemoglobinopathies, the implementation of genomics into healthcare, particularly for health systems in developing countries, the development of genomic databases and web-based translational tools for personalised medicine and the application of genomics in public health. George Patrinos has published more than 220 scientific papers in peer reviewed journals on topics related to genetics, genomic medicine, pharmacogenomics, molecular diagnostics, and social and economic evaluation for genomic medicine. He is also the editor of several textbooks published by Elsevier/Academic Press, including the renowned textbook "Molecular Diagnostics", published by Elsevier now in its third edition. He serves as Communicating and Associate Editor for several high impact scientific journals and he is co-organizer of the international meeting series "Golden Helix Conferences.