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Medical bioinformatics Section edited by Samir K. Brahmachari

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.

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1.

Methodology   Open Access

Implementation of the CDC translational informatics platform - from genetic variants to the national Swedish Rheumatology Quality Register

Imad Abugessaisa, David Gomez-Cabrero, Omri Snir, Staffan Lindblad, Lars Klareskog, Vivianne Malmström, Jesper Tegnér Journal of Translational Medicine 2013, 11:85 (2 April 2013)

Abstract | Full text | PDF | ePUB | PubMed

2.

Research   Open Access

In silico approaches for designing highly effective cell penetrating peptides

Ankur Gautam, Kumardeep Chaudhary, Rahul Kumar, Arun Sharma, Pallavi Kapoor, Atul Tyagi, Open source drug discovery consortium, Gajendra P S Raghava Journal of Translational Medicine 2013, 11:74 (22 March 2013)

Abstract | Full text | PDF | ePUB | PubMed

3.

Research   Open Access

Significantly fewer protein functional changing variants for lipid metabolism in Africans than in Europeans

Cheng Xue, Xiaoming Liu, Yun Gong, Yuhai Zhao, Yun-Xin Fu Journal of Translational Medicine 2013, 11:67 (20 March 2013)

Abstract | Full text | PDF | ePUB | PubMed

4.

Editorial   Open Access

Introducing the medical bioinformatics in Journal of Translational Medicine

Samir K Brahmachari Journal of Translational Medicine 2012, 10:202 (26 September 2012)

Abstract | Full text | PDF | PubMed | Cited on BioMed Central

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