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Record Nr. |
UNINA9910778299503321 |
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Titolo |
Biomedical informatics in translational research / / Hai Hu, Richard J. Mural, Michael N. Liebman, editors |
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Pubbl/distr/stampa |
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Boston : , : Artech House, , ©2008 |
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[Piscataqay, New Jersey] : , : IEEE Xplore, , [2008] |
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ISBN |
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Descrizione fisica |
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Collana |
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Artech House series bioinformatics & biomedical imaging |
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Altri autori (Persone) |
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HuHai |
MuralRichard J |
LiebmanMichael N. <1947-> |
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Disciplina |
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Soggetti |
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Medical informatics |
Bioinformatics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Biomedical Informatics in Translational Research; Contents; Preface; Chapter 1 Biomedical Informatics in TranslationalResearch; 1.1 Evolution of Terminology; 1.1.1 Translational Research; 1.1.2 Systems Biology; 1.1.3 Personalized Medicine; References; Chapter 2 The Clinical Perspective; 2.1 Introduction; 2.2 Ethics in Clinical Research; 2.3 Regulatory Policies for Protecting a Research Subject's Privacy; 2.4 Informed Consent; 2.5 Collecting Clinical Data: Developing and Administering Survey Instruments; 2.6 Issues Important to Biomedical Informatics; 2.6.1 Data Tracking and Centralization. |
2.6.2 Deidentifying Data2.6.3 Quality Assurance; 2.6.4 Data Transfer from the Health Care Clinic to the Research Setting; 2.7 Standard Operating Procedures; 2.8 Developing and Implementing a Research Protocol; 2.8.1 Developing a Research Protocol; 2.8.2 Implementing the Research Protocol; 2.9 Summary; References; Chapter 3 Tissue Banking: Collection, Processing, and Pathologic Characterization of Biospecimens for Research; 3.1 Introduction; 3.1.1 A Biorepository's Mandate; 3.1.2 Overview of Current Tissue Banking Practices; 3.2 Consenting and Clinical Data Acquisition. |
3.3 Blood Collection, Processing, and Storage3.4 Tissue Collection, |
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Processing, Archiving, and Annotation; 3.4.1 Tissue Collection; 3.4.2 Tissue Processing; 3.4.3 Tissue Archiving and Storage; 3.4.4 Pathologic Characterization of Tissue Samples; 3.5 Conclusion; References; Chapter 4 Biological Perspective; 4.1 Background for "Omics" Technologies; 4.2 Basic Biology and Definitions; 4.2.1 A Historical Perspective; 4.2.2 Biological Processes; 4.2.3 Some Definitions; 4.3 Very Basic Biochemistry; 4.3.1 DNA; 4.3.2 RNA; 4.3.3 Proteins; 4.4 Summary; References; Chapter 5 Genomics Studies. |
5.1 Introduction5.2 Genomic Technologies Used for DNA Analysis; 5.2.1 DNA Sequencing; 5.2.1.2 Biomedical Informatics Requirements; 5.2.1.3 Future Directions; 5.2.2 Genotyping; 5.2.2.1 Array Technologies; 5.2.2.2 Technological Assessment of Genotyping; 5.2.2.3 Affymetrix Genotyping SNP Assay Workflow; 5.2.2.4 QA/SOP Issues; 5.2.2.5 Biomedical Informatics Requirements; 5.2.2.6 Future Directions; 5.2.3 Array-Based Comparative Genomic Hybridization; 5.2.3.1 Technological Assessment of Chromosomal Rearrangements; 5.2.3.2 Example Platform; 5.2.3.3 QA/SOP Issues. |
5.2.3.4 Biomedical Informatics Requirements5.2.3.5 Oligo-Based aCGH Platform; 5.3 Genomic Technology Used for RNA Analysis; 5.3.1 Real-Time PCR; 5.3.1.1 Data Analysis Methods; 5.3.1.2 Biomedical Informatics Requirements; 5.3.1.3 Future Directions; 5.3.2 Microarrays; 5.3.2.1 Array Technologies; 5.3.2.2 Example Platform; 5.3.2.3 QA/SOP Issues; 5.3.2.4 MIAME Checklist and Platform Comparison; 5.3.2.5 Data Analysis Issues; 5.3.2.6 Biomedical Informatics Requirements; 5.3.2.7 Future Directions; 5.3.3 Chips for Alternative Splicing Analysis (GeneChip Exon); 5.3.3.1 Array Technology. |
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Sommario/riassunto |
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This groundbreaking resource on biomedical informatics gives you step-by-step insight into innovative techniques for integrating and federating data from clinical and high-throughput molecular study platforms as well as from the public domain. It details how to apply computational and statistical technologies to clinical, genomic, and proteomic studies to enhance data collection, tracking, storage, visualization, analysis, and knowledge discovery processes, and to translate knowledge from ""bench to bedside"" and ""bedside to bench"" with never-before efficiency. Filling the need for informatic. |
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