Abstract

The explosion of genome sequencing data along with genotype to phenotype correlation studies has created data deluge in the area of biomedical sciences. The aim of the Medical bioinformatics section is to aid the development and maturation of the field by providing a platform for the translation of these datasets into useful clinical applications. The increase in computing capabilities and availability of different data from advanced technologies will allow researchers to build System Biology models of various diseases in order to efficiently develop new therapeutic interventions and reduce the current prohibitively large costs of drug discovery.The section welcomes studies on the development of Biomedical Informatics for translational medicine and clinical applications, including tools, methodologies and data integration.

Highlights

  • The explosion of genome sequencing data along with genotype to phenotype correlation studies has created data deluge in the area of biomedical sciences

  • * Correspondence: skb@igib.res.in 1CSIR-Institute of Genomics and Integrative Biology, Mall Road, New Delhi 110007, India 2CSIR- Open Source Drug Discovery (OSDD) unit, Anusandhan Bhavan, 2 Rafi Marg, New Delhi 110001, India Full list of author information is available at the end of the article

  • ‘Medical Bioinformatics’ holds immense promise in this area by equipping researchers with tools and resources to efficiently capture, curate and analyze the ‘big data’, while allowing clinicians and care-givers access to evidence based insights which could be effectively used for patient-care

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Summary

Introduction

The explosion of genome sequencing data along with genotype to phenotype correlation studies has created data deluge in the area of biomedical sciences. This would only be possible if we are able to capture, curate and analyze clinical data with ‘omics’ datasets using novel informatics tools to establish correlations with high level of confidence.

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