Revisiting Five Years of CASMI Contests with EPA Identification Tool

Description

An investigation was performed on each of the individual CASMI datasets to identify whether the chemicals were present in DSSTox, the database underlying the Dashboard (see Methods for details). As our identification workflow relies on database presence, the presence or absence of a chemical in the database is clearly highly influential in terms of overall performance. Results from the dataset assembly analysis from each CASMI year dataset are presented in Table 1 and described in detail by dataset year below (complete datasets are provided in Supplemental File 2 and available as lists on the Dashboard). This dataset is associated with the following publication: McEachran, A., A. Chao, H. Al-Ghoul, C. Lowe, C. Grulke, J. Sobus, and A. Williams. Revisiting Five Years of CASMI Contests with EPA Identification Tools. Metabolites. MDPI AG, Basel, SWITZERLAND, 10(6): 260, (2020).

Resources

Name Format Description Link
47 Supplemental%20File%203.txt https://pasteur.epa.gov/uploads/10.23719/1520123/Supplemental%20File%203.txt
53 Supplemental%20File%202_v2.xlsx https://pasteur.epa.gov/uploads/10.23719/1520123/Supplemental%20File%202_v2.xlsx
53 Supplemental%20File%201_v2.xlsx https://pasteur.epa.gov/uploads/10.23719/1520123/Supplemental%20File%201_v2.xlsx

Tags

  • actor
  • compound-database
  • mass-spectral-fragmentation-prediction
  • spectral-library
  • non-targeded-analysis
  • high-resolution-mass-spectrometry

Topics

Categories