Urminder Singh

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Graduate Research Assistant, Wurtele Lab

My research focuses on developing new statistical models and computational tools for analysis of big heterogeneous RNA-Seq datasets. To enable this research, we have developed MetaOmGraph, a public java tool for interactive visualization and exploratory analysis of big omics datasets. At the core of my research is to computationally identify and characterize de novo orphan genes in the human genome.

Area of Expertise: 
Heterogeneous RNA-Seq data
Machine Learning
Algorithms and Software Development
Education: 
M.Tech., Computational Biology, Jawaharlal Nehru Univ., New Delhi
M.S., Computer Science, South Asian Univ., New Delhi
B.S., Physical Sciences, University of Delhi, New Delhi
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