Dr. Amit Arora
	Designation : Additional Professor
	Department : MEDICAL MICROBIOLOGY

Dr. Amit Arora is a computational biologist with expertise in genomics, metagenomics and systems biology. He has applied computational methodologies to investigate biological interactions at the molecular level.

His primary research goals are to collectively understand the various genetic, epigenetic, regulatory and environmental factors that govern disease states.

Using open source bioinformatic and computational biology tools, he has expertise in comparative genomics, phylogenomics and metgenomics, gene integration networks, gene expression analysis and various machine learning methodologies.

Dr. Arora is also applying Deep Learning techniques using Python and R to unravel the factors governing host genetic  susceptibility towards various diseases.  

I plan to establish a multidisciplinary research group at PGIMER that focuses on deeper understanding of genomics and aims to find features in biological data. The ultimate aim is to utilize big data and deep learning towards clinically actionable knowledge. With collaborative research between clinicians, basic scientists and computational biologists at PGIMER, I aim to unlock clinically relevant information. Early detection and diagnosis, therapy choice, patient monitoring and care are just some of the benefits patients may reap from application of computational biology techniques to BIG bio-DATA. With its vast clinical expertise and ample foot fall of patients at PGIMER,
interdisciplinary sciences could pave the way forward towards application of machine learning and specifically deep learning in translational genomics leading to better patient care regimens.

    1. Fellowship Winner: International Workshop on Extracting Information from DNA sequences by RIKEN, Japan. 2003.
    2. Invited speaker: Advanced Scientific programming in Python Winter school, University of Warsaw, Poland 2010.
    3. Member of the Scottish Bioinformatics forum, 2009-2011
    4. Awarded the Best PhD student(Biomedical) by Queens University, UK.
    5. Successfully awarded the SPUR fellowship, UK during PhD.
    6. 1st Class with dictinction in M.Sc (Bioinformatics), University of Ulster, UK.

• Prediction and verification of miRNA expression in human and rat retinas

    Amit Arora, Gareth j. McKay and David A. C. Simpson
    Invest Ophthalmol Vis Sci. 2007 Sep;48(9):3962-7.

• Individual mRNA expression profiles reveal the effects of specific microRNAs

    Amit Arora and David A. C. Simpson
    Genome Biol. 2008;9(5):R82. 5 year Impact Factor: 16.5

• microRNAs affect gene expression in a range of cells during retinal development

    Arora A*, Guduric-Fuchs J*, Dellette M, Ping Gu, Cogliati T, Simpson DA
    BMC Dev Biol. 2010 Jan 6;10:1.

• Prediction and classification of ncRNAs using structural information

    Bharat Panwar, Amit Arora*, GPS Raghava*
    BMC Genomics 2014, 15:127.

• MicroRNA targets: potential candidates for indirect regulation by drugs

    Arora A*
    Pharmacogenet Genomics. 2015 Mar;25(3):107-25.

• Ablation of RNAi and retrotransposons accompany acquisition and evolution of transposases to heterochromatin protein CENPB

  Mol Biol Cell. 2017 Apr 15;28(8):1132-1146.

• Affected energy metabolism under manganese stress governs cellular toxicity.

    Gursharan Kaur, Vineet Kumar, Amit Arora, Ajay Tomar, Ashish, Runa Sur and Dipak Dutta*
    Scientific Reports 7, 11645;

• The development of lower respiratory tract microbiome in mice

    Nisha Singh, Asheema Vats, Aditi Sharma, Amit Arora* and Ashwani Kumar*
    Microbiome20175:61; 5 year Impact Factor: 10.9