Couverture / Jaquette

This bookelucidates how genetic, biological and medical information can be applied tothe development of personalized healthcare, medication and therapies. Focusingon aspects of the development of evidence-based approaches in bioinformaticsand computational medicine, including data integration, methodologies, toolsand models for clinical and translational medicine, it offers an essentialintroduction to clinical bioinformatics for clinical researchers andphysicians, medical students and teachers, and scientists working with human disease-based omics and bioinformatics. Dr. XiangdongWang is a distinguished Professor of Medicine. He is Director of ShanghaiInstitute of Clinical Bioinformatics, Director of Fudan University Center forClinical Bioinformatics, Deputy Director of Shanghai Respiratory ResearchInstitute, Director of Biomedical Research Center, Fudan University ZhongshanHospital, Shanghai, China; Dr. Christian Baumgartner is a Professor of HealthCare and Biomedical Engineering at Institute of Health Care Engineering withEuropean Notified Body of Medical Devices, Graz University of Technology, Graz,Austria; Dr. Denis Shields is a Professor of ClinicalBioinformatics at Conway Institute, Belfield, Dublin, Ireland; Dr. Hong-Wen Dengis a Professor at Department of Biostatistics and Bioinformatics, Tulane UniversitySchool of Public Health and Tropical Medicine, USA; Dr. Jacques SBeckmann is a Professor and Director of Section of Clinical Bioinformatics,Swiss Institute of Bioinformatics, Switzerland.

Fonctionnalité

Introduces the application of genetic, biological and medical information

Provides practical examples

Written by experts in this field

Includes supplementary material: sn.pub/extras

Table des matières

The Era of Big Data: From Data-driven Research to Data-driven ClinicalCare.- Biostatistics, data mining and computational modeling.- Gene expressionand profiling.- The next generation sequencing andapplications in clinical research.- Clinical epigenetics and epigenomics.- Proteomicprofiling: Data mining and analyses.- Targeted metabolomics: the nextgeneration of clinical chemistry!?.- Clinical bioinformatics for biomarkerdiscovery in targeted metabolomics.- Metagenomic Profiling, Interaction ofGenomics with Meta-genomics.- Clinical Epigenetics and Epigenomics.- IntegrativeBiological Databases.- Standards and Regulations for (Bio)Medical Software.- Clinicalapplications and systems biomedicine.- Key Law and Policy Considerations forClinical Bioinformaticians.- Challenges and Opportunities in ClinicalBioinformatics.- Heterogeneity of Hepatocellular Carcinoma.

Détails