Metabolomics is a rising field combining bioinformatics and cheminformatics together. A major component of research is having a reliable data source, which usually comes in the form of metabolomic databases. This paper documents arising issues revolving categorizing metabolome compounds within databases, and a possible solution in the form of an R package that is capable of matching up various metabolome identifiers that originate from various metabolome databases. Then, by using this package we reflect on the average coverage of external reference between metabolome databases to highlight the lack of a universal compound primary identifier. / <p>The thesis presentation was held over Zoom due to the recent COVID19 pandemic.</p>
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-417525 |
| Date | January 2020 |
| Creators | Csombordi, Rajmund |
| Publisher | Uppsala universitet, Institutionen för biologisk grundutbildning |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | image/png |
| Rights | info:eu-repo/semantics/openAccess |
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