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Human genome informatics : translating genes into health

Author: Christophe G Lambert; Darrol J Baker; George P Patrinos
Publisher: London, United Kingdom : Academic Press, an imprint of Elsevier, [2018]
Series: Translational and applied genomics series.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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,  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Human genome informatics.
London, United Kingdom : Academic Press, an imprint of Elsevier, [2018]
(OCoLC)974698914
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Christophe G Lambert; Darrol J Baker; George P Patrinos
ISBN: 9780128134313 0128134313
OCLC Number: 1047959760
Description: 1 online resource
Contents: Front Cover; Human Genome Informatics: Translating Genes into Health; Copyright; Contents; Contributors; Preface; Chapter 1: Human Genome Informatics: Coming of Age; 1.1. Introduction; 1.2. From Informatics to Bioinformatics and Genome Informatics; 1.3. Informatics in Genomics Research and Clinical Applications; 1.3.1. Genome Informatics Analysis; 1.3.2. Genomics Data Sharing; 1.3.3. Genomic Variant Reporting and Annotation Tools; 1.4. Pharmacogenomics and Genome Informatics; 1.5. Databases, Artificial Intelligence, and Big-Data in Genomics; 1.6. Conclusions; Acknowledgments; References Part 1: Human Genome Informatics ApplicationsChapter 2: Creating Transparent and Reproducible Pipelines: Best Practices for Tools, Data, and Workflow Management Systems; 2.1. Introduction; 2.2. Existing Workflow Environment; 2.3. What Software Should Be Part of a Scientific Workflow?; 2.4. Preparing Data for Automatic Workflow Analysis; 2.5. Quality Criteria for Modern Workflow Environments; 2.5.1. Being Able to Embed and to Be Embedded; 2.5.2. Support Ontologies; 2.5.3. Support Virtualization; 2.5.4. Offer Easy Access to Commonly Used Datasets 2.5.5. Support and Standardize Data Visualization2.5.6. Enable ""Batteries Included"" Workflow Environments; 2.5.7. Facilitate Data Integration, Both for Import and Export; 2.5.8. Offer Gateways for High Performance Computing Environments; 2.5.9. Engage Users in Collaborative Experimentation and Scientific Authoring; 2.6. Benefits From Integrated Workflow Analysis in Bioinformatics; 2.6.1. Enable Meta-Studies, Combine Datasets, and Increase Statistical Power; 2.6.2. Include Methods and Data From Other Research Disciplines; 2.6.3. Fight the Reproducibility Crisis 2.6.4. Spread of Open Source Policies in Genetics and Privacy Protection2.6.5. Help Clinical Genetics Research; 2.7. Discussion; References; Chapter 3: How Cytogenetics Paradigms Shape Decision Making in Translational Genomics; 3.1. Introduction; 3.2. Clinical Cytogenetic Testing; 3.2.1. Karyotyping; 3.2.2. Chromosomal Microarrays; 3.2.2.1. Resolving the Conflict; 3.2.2.2. Capitalizing on the Conflict; 3.3. From Cytogenetics to Cytogenomics in the Era of Next-Generation Sequencing; 3.4. Conclusions; References Chapter 4: An Introduction to Tools, Databases, and Practical Guidelines for NGS Data Analysis4.1. Introduction; 4.2. Data Formats; 4.3. Data Sources; 4.4. Variant Data; 4.5. NGS Pipelines; 4.5.1. Read Alignment; 4.5.2. Variant Calling; 4.5.3. Downstream Analysis; 4.5.4. RNA-seq; 4.5.5. ChIP-Seq; 4.6. Discussion; References; Chapter 5: Proteomics and Metabolomics Data Analysis for Translational Medicine; 5.1. Introduction; 5.2. The Need to Bridge the Gaps in the Era of Precision Medicine; 5.3. Clinical Proteomics; 5.3.1. The Power of the Proteome
Series Title: Translational and applied genomics series.
Responsibility: edited by Christophe G. Lambert, Darrol J. Baker, George P. Patrinos.

Abstract:

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.

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