Second-stage molecular networks for the botanical Angelica keiskei. The project aimed to identify bioactive constituents and predict their chemical class using a combination of molecular networking and bioinformatics approaches. Paper can be found here: https://www.researchgate.net/publication/323981257_Integration_of_Biochemometrics_and_Molecular_Networking_to_Identify_Antimicrobials_in_Angelica_keiskei