CCDB: A database for exploring inter-chemical correlations in metabolomics and exposomics datasets.

ABSTRACT: Inter-chemical correlations in metabolomics and exposomics datasets provide valuable information for studying relationships among chemicals reported for human specimens. With an increase in the number of compounds for these datasets, a network graph analysis and visualization of the correlation structure is difficult to interpret. We have developed the Chemical Correlation Database (CCDB), as a systematic catalogue of inter-chemical correlation in publicly available metabolomics and exposomics studies. The database has been provided via an online interface to create single compound-centric views. We have demonstrated various applications of the database to explore: 1) the chemicals from a chemical class such as Per- and Polyfluoroalkyl Substances (PFAS), polycyclic aromatic hydrocarbons (P

SUBMITTER: Barupal DK 

PROVIDER: S-EPMC9195052 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature