Edinburgh Research Explorer

Santosh Atanur

(Former employee or visitor)

Biography

I am a Chancellor’s fellow and Genome Informatics group leader at the Centre for Genomic and Experimental Medicine (CGEM) within the Institute of Genetics and Molecular Medicine, University of Edinburgh. After receiving M.Sc. in Genetics and Plant Breeding, I obtained post graduate diploma in Bioinformatics from University of Pune, India.  In 2003, started working as a researcher in Bioinformatics group at Center for Development of Advanced Computing (C-DAC). During my tenure at C-DAC I was involved in the analysis of microbial genomes and transcriptomes.  In 2008, I joined Professor Timothy Aitman’s group at Imperial College London. I first started as a research associate and subsequently took up a role of Genomic Data Analyst for the BHF Center of Research Excellence. I obtained PhD (part-time) from Imperial College London in Bioinformatics alongside working as a Genomic Data Analyst.     

During my PhD, first I analysed genome of spontaneously hypertensive rat (SHR) strain sequenced by SHR genome sequencing consortium. SHR was one of the first model organisms sequenced using next generation sequencing technology. Subsequently, in collaboration with labs in Europe, North America and East Asia 28 rat strains including models of hypertension, diabetes and kidney diseases along with respective control strains were sequenced. I analysed the genome sequences of these 28 rat strains and applied a phylogenetic profiling approach to identify co-evolving gene clusters and evolutionary genetics approaches to identify regions under artificial selection during selection for disease phenotypes.  

Qualifications

  • Master
    • 1999, Genetics and Plant Breeding
  • PGDip
    • 2002, Bioinformatics, University of Pune, India
  • Doctorate
    • 2014, Bioinformatics, Imperial College London, UK

My research in a nutshell

My group aims to identify genes and loci underlying complex disease such as hypertension and diabetes using next generation sequencing technologies in humans as well as model organisms.  

ID: 15502281