Skills

1. Network and Systems Biology
2. High throughput Omics data processing with cutting edge pipelines
3. Expertise in microbiome Meta’Omics (16S,WGS, metatranscriptomics, metabolomics) data analysis
4. Scripting with R
5. Experience in LINUX environment and cloud computing
6. Work with bioinformatics databases (IMG, NCBI, ENA, KEGG, MetaCyc)
7. Molecular biology techniques

Research Interest

My broad research area is Meta’Omics and Systems Biology. Alteration of microbial composition in obesity is evident. It forms a complex biological system that leads to the condition which is yet to be understood. I am particularly interested in working with obese gut microbial data to model (in-silico) the host-gut microbial interaction by using a systems biology approach and understand how the disease state is maintained. The improved mechanistic understanding will be useful to rationally manipulate the gut microbiome in order to alleviate the condition.

Publications

1. Chanda, D., and De, D. (2024). Meta-analysis reveals obesity associated gut microbial alteration patterns and reproducible contributors of functional shift. Gut Microbes. (Impact Factor: 12.2)
2. Dutta, S., Natoli, T., Chanda, D., Rajavelu, S., and De, D. (2023). A network based efficient drug repurposing strategy for targeting diabesity. Genes & Diseases. (Impact Factor: 6.8)