Abstract

Translational Biomedical Informatics and Computational Systems Medicine

Highlights

  • In “Translational bioinformatics for diagnostic and prognostic prediction of prostate cancer in the next-generation sequencing era,” J

  • Translational biomedical informatics is rapidly emerging as a new discipline to meet translational medical research demands

  • Computational systems medicine applies computational and systems biology approaches to solve complex problems in medical research; this approach aims for a deeper understanding of disease pathophysiology and a systems level view of disease development

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Summary

Introduction

In “Translational bioinformatics for diagnostic and prognostic prediction of prostate cancer in the next-generation sequencing era,” J. Translational biomedical informatics is rapidly emerging as a new discipline to meet translational medical research demands. Research activities in these areas have rapidly expanded, largely due to the huge volume of data generated from high throughput technologies such as next-generation sequencing (NGS), availability and better management of the massive amount of clinical data, and the demand to effectively link biological and genetic data to clinical records.

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