Current Research Interests
- Exploring the metagenomic diversity of India through the metagenomic sequencing and analysis of various environments such as Human gut, soil, sediment etc.
- Exploring the interactions between Human genome and Human gut metagenome.
- Examining the role of probiotics, diet and immunity on Human gut metagenome.
- Complete genome sequencing and analysis of novel culturable and unculturable bacteria.
- Development of computational tools for metagenomic and genomic data analysis.
Significant Past Projects
Metagenomic analysis of human gut microbiome
- Genome Sequencing, analysis and annotation of two unculturable bacterial genomes isolated from protist cells from Termite gut (Single Cell Genomics).
- Genome sequencing and analysis of two novel Arcobacter species isolated from Microbial Fuel Cell.
Genomics Sequencing and Analysis of Novel Bacterial Genomes
- Using fecal samples from 13 healthy individuals of various ages, including unweaned infants, to identify the genomic features common to all human gut microbiomes as well as those variable among them.
- Genome sequencing and analysis of two Lactobacillus strains isolated from human gut of Indian individuals.
Software/Web Server/Knowledge-base development
- MetaBioME (Comprehensive Metagenomic BioMining Engine): Identify novel commercially useful enzymes (biocatalysts) employed in Industry, Medicine, Agriculture, Biotechnology, Environment, etc., from metagenomic datasets.
- MetaBin: Fast and accurate taxonomic assignments of metagenomic sequences using MetaBin.
- EXPOLDB (Expression Linked Polymorphism Database): A useful resource to link gene expression data from human Gene Chip experiments with the distribution of (TG/CA)n and other repeats within genes.
- ArrayD: Software for designing cDNA microarrays.
Human Genome Analysis
- Genome wide analysis of repetitive sequences in human and other primate genomes.
- Identification and analysis of novel conjoined genes in human and other genomes.
- Assessing natural variation in humans by comparing with monozygotic twins using microarrays.