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AMOL CARL SHETTY, PhD

I have been working in the field of cutting-edge genomic research for over 12 years and have developed extensive expertise in multiple analytical areas encompassing bioinformatics analysis, analytical tool development, and scalable analytical methods. A significant portion of my research portfolio has been dedicated to understanding gene expression and regulation in multiple research avenues involving neuroscience, oncology, infectious diseases, fungal genomics, and personalized medicine.

 

I have and continue to work on multiple omics technologies including, but not limited to transcriptomics using microarrays, RNA-Seq and targeted expression technologies, epigenomics to study the role of non-coding RNAs (miRNAs, lincRNAs, snoRNAs, piRNAs) using RNA-Seq, DNA methylation using methylation arrays and bisulfite sequencing technologies, histone modifications and transcription factor binding using ChIP-chip and ChIP-Seq technologies, and single-cell omics technologies to better understand cell-type specific genetic markers and cell-state regulation. These analytical approaches include complex and scalable pipelines, machine learning techniques, and comprehensive visualization of data.

 

These projects have led to multiple seminal publications, several successful collaborations as well as major biological initiatives such as the NIAID funded Genomics Based Investigation of the Determinants of Polymicrobial Infectious Disease Outcomes, the NIMH funded Neuroscience Multi-Omic Data Archive, the NIAID funded Omics-Based Identification of Novel Vaccine Targets against Neisseria Gonorrhoeae, and the NIAID funded Multi-Omics Approach to the Examination of Bacterial Co-Pathogens.

EXPERTISE

Bioinformatics
  • Whole genome sequencing analysis

  • Genetic variant analysis

  • Transcriptomics

  • Epigenomics

  • Metagenomics

  • Metatranscriptomics

  • Pipeline and software development

Biostatistics
  • Data mining and analytics

  • Statistical models

  • Clustering algorithms

  • Microarray analysis

  • Association analysis (GWAS)

  • Graphical visualization

Population Genomics
  • Epidemiology

  • Personalized genomics

  • Population structure

  • Admixture analysis

  • Genetic diversity

  • Population migration

  • Selection

MY LATEST RESEARCH

Shetty_NatCom_2019.jpg

Cross-species transcriptional analysis reveals conserved and host-specific neoplastic processes in mammalian glioma.

Sci Rep. 2018 Jan 19;8(1):1180.

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