Published September 16, 2019
| Version v1
Dataset
Open
Integrated Probabilistic Annotation (IPA): A Bayesian-based annotation method for metabolomic profiles integrating biochemical connections, isotope patterns and adduct relationships - Supplementary Data
Authors/Creators
- 1. Manchester Institute of Biotechnology, Faculty of Science and Engineering, University of Manchester, Manchester, M1 7DN, UK
- 2. BBSRC/EPSRC Synthetic Biology Reseach Centre for Fine and Speciality Chemicals (SYNBIOCHEM), Manchester Institute of Biotechnology, Faculty of Science and Engineering, University of Manchester, Manchester, M1 7DN, UK
- 3. School of Computing Science, University of Glasgow, Glasgow, G12 8RZ, UK
Description
- Supplementary_data_1: data and code for standards analysis and database update
- Supplementary_data_2.zip: data and code used for the generation of the synthetic experiment
- Supplementary_data_3.zip: data, code, and results of the E. coli dataset analysis
- Supplementary_data_4.zip: data, code, and results of the beer dataset analysis
- Supplementary_data_5.zip: data, code, and results of the comparison with xMSannotator