Research

IDSL has three major research themes

1) To develop, integrate and implement software for advancing metabolomics data processing and analysis.

This workflow can be applied on any scale of data generated using a GCMS or LCMS techniques ( low and high both resolutions). See - https://www.nature.com/articles/sdata2018263 and https://www.mdpi.com/2218-1989/9/5/101

2) To develop tools for mapping, visualizing and interpreting dys-regulated metabolic networks in different biological contexts.

Using biochemical and chemical relationships among chemicals, we map metabolic networks which can be used for identifying dys-regulated metabolic pathways and modules. See -

  1. https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-13-99 ,

  2. https://www.nature.com/articles/s41598-017-15231-w ,

  3. https://pubs.acs.org/doi/abs/10.1021/acs.chemrestox.6b00187 ,

  4. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6570467/

  5. https://www.sciencedirect.com/science/article/abs/pii/S0958166917302574

3) To prioritize chemicals using biomedical text mining and database fusion.

We mine PubMed abstracts and PMC full-text data with text mining methods and combine several chemical databases to prioritize chemicals for exposome contexts. See - https://ehp.niehs.nih.gov/doi/full/10.1289/EHP186 and https://ehp.niehs.nih.gov/doi/full/10.1289/EHP4713