Translational Bioinformatics
'Translational Bioinformatics' is a collection of articles which reads as a "book" to be used as a reference or tutorial for a graduate level introductory course on the science of translational bioinformatics. Translational bioinformatics is an emerging field that addresses the current challenges of integrating increasingly voluminous amounts of molecular and clinical data. Its aim is to provide a better understanding of the molecular basis of disease, which in turn will inform clinical practice and ultimately improve human health. The concept of a translational bioinformatics introductory book was originally conceived in 2009 by Jake Chen and Maricel Kann. Each chapter was crafted by leading experts who provide a solid introduction to the topics covered, complete with training exercises and answers. The rapid evolution of this field is expected to lead to updates and new chapters that will be incorporated into this collection.
Image Credit: PLOS
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PLOS Computational Biology Introduction to Translational Bioinformatics Collection
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PLOS Computational Biology Chapter 1: Biomedical Knowledge Integration
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PLOS Computational Biology Chapter 2: Data-Driven View of Disease Biology
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PLOS Computational Biology Chapter 3: Small Molecules and Disease
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PLOS Computational Biology Chapter 4: Protein Interactions and Disease
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PLOS Computational Biology Chapter 5: Network Biology Approach to Complex Diseases
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PLOS Computational Biology Chapter 6: Structural Variation and Medical Genomics
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PLOS Computational Biology Chapter 7: Pharmacogenomics
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PLOS Computational Biology Chapter 8: Biological Knowledge Assembly and Interpretation
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PLOS Computational Biology Chapter 9: Analyses Using Disease Ontologies
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PLOS Computational Biology Chapter 10: Mining Genome-Wide Genetic Markers
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PLOS Computational Biology Chapter 11: Genome-Wide Association Studies
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PLOS Computational Biology Chapter 12: Human Microbiome Analysis
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PLOS Computational Biology Chapter 13: Mining Electronic Health Records in the Genomics Era
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PLOS Computational Biology Chapter 14: Cancer Genome Analysis
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PLOS Computational Biology Chapter 15: Disease Gene Prioritization
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PLOS Computational Biology Chapter 16: Text Mining for Translational Bioinformatics
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PLOS Computational Biology Chapter 17: Bioimage Informatics for Systems Pharmacology