Functional Genomics Lab
Dissecting the functional potential of genomes
Our group develops and deploys omics technologies to measure Biological phenomena with High Resolution (single cell), High Precision (Isoforms), and High throughput (100s-1,000,000 samples simultaneously). We apply Big Data algorithms on the generated data to dissect the biological complexity in the context of Evolution and Disease.
Currently hiring Postdocs ( NPDF, DBT-RA), PhDs (GATE, NET, JRF) , MS(Research) Students (GATE qualified), and Long-term Interns (12m+).
Drop a mail with subject "App-Degree-Position-FirstName-Interest" along with a description of interest and your CV to fungel.iitd@gmail.com
For example: if you are Mr. Virat Kohli seeking a PhD to work on Covid-19, email subject should be "App-B.E.CompScience-MSR-Virat-Covid19"
Current Research Areas
Mapping functional consequences of Genetic Diversity in India
Cellular heterogeneity in
Host-Pathogen interaction
Molecular dissection of Cancer persistence and Immunotherapy
Custom Genomics solutions for
Low-cost point-of-care Diagnostics
Fresh off the press
Completion of Sequencing of 10,000 Genomes of Indian Population (February 27, 2024)
GenomeIndia, a national Pan-India initiative by the Department of Biotechnology (DBT), focussed on whole genome sequencing of representative populations across India — crucial in mapping the vast genetic blueprint of India from healthy individuals. Our lab is excited to contribute towards de novo assembly of the mitochondrial genome for generating the first Indian mitochondrial genome reference. A majority of this work, was executed by Mr. Nirmal Singh Mahar, a PhD student in the lab, in collaboration with Prof. Sundar at IIT Delhi and Prof. Shweta Ramdass at the Centre for Brain Research, Indian Institute of Science.
Extending our work on the first scRNA-Seq dataset from India
FIRST SPATIAL TRANSCRIPTOMICS DATASET FROM INDIA
Benchmarking tools for the GenomeIndia project
Highlights of past work
Genomics and new tools to better understand Cancer for enhancing patient care
Dissecting the mechanism of gene expression homeostasis in yeast
Machine Learning to understand genetic and non-genetic factors in disease
How to reach us:
Follow our work on:
Twitter @FungeLab