Translational Biomedical Informatics

A Precision Medicine Perspective

Bairong Shen, Haixu Tang, Xiaoqian Jiang

• Publisher: Springer
• Year: 2016
• Topic: Computer Science
• Print ISBN:
  9789811015021
• Subtopic: Bioinformatics
• eBook ISBN:
  9789811015038
• Index: Computer Science

This book introduces readers to essential methods and applications in translational biomedical informatics, which include biomedical big data, cloud computing and algorithms for understanding omics data, imaging data, electronic health records and public health data. The storage, retrieval, mining and knowledge discovery of biomedical big data will be among the key challenges for future translational research. The paradigm for precision medicine and healthcare needs to integratively analyze not only the data at the same level – e.g. different omics data at the molecular level – but also data from different levels – the molecular, cellular, tissue, clinical and public health level. This book discusses the following major aspects: the structure of cross-level data; clinical patient information and its shareability; and standardization and privacy. It offers a valuable guide for all biologists, biomedical informaticians and clinicians with an interest in Precision Medicine Informatics.

Table of contents

• Contents
• Chapter 1: NGS for Sequence Variants
• Chapter 2: RNA Bioinformatics for Precision Medicine
• Chapter 3: Exploring Human Diseases and Biological Mechanisms by Protein Structure Prediction and Modeling
• Chapter 4: Computational Methods in Mass Spectrometry-Based Proteomics
• Chapter 5: Informatics for Metabolomics
• Chapter 6: Metagenomics and Single-Cell Omics Data Analysis for Human Microbiome Research
• Chapter 7: Text Mining for Precision Medicine: Bringing Structure to EHRs and Biomedical Literature to Understand Genes and He...
• Chapter 8: Medical Imaging Informatics
• Chapter 9: LIMS and Clinical Data Management
• Chapter 10: Biobanks and Their Clinical Application and Informatics Challenges
• Chapter 11: XML, Ontologies, and Their Clinical Applications
• Chapter 12: Bayesian Computation Methods for Inferring Regulatory Network Models Using Biomedical Data
• Chapter 13: Network-Based Biomedical Data Analysis