Development of MAIT 2 - A complete metabolomics analysis
Metabolomics, which is defined as the comprehensive analysis of metabolites in a biological system, has lots of applications that are leading to an important step forward in medicine. Since it is still an emerging field, researchers are trying to create computational tools that improve the processin...
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| Tipo de recurso: | tesis de maestría |
| Fecha de publicación: | 2023 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/385679 |
| Acceso en línea: | https://hdl.handle.net/2117/385679 |
| Access Level: | acceso abierto |
| Palabra clave: | Mathematical statistics Mappings (Mathematics) Metabolomics LC-MS Peak detection Peak annotation Bioconductor MAIT R Omics sciences Quality Control Estadística matemàtica Aplicacions (Matemàtica) Classificació AMS::62 Statistics::62P Applications Classificació AMS::92 Biology and other natural sciences Àrees temàtiques de la UPC::Matemàtiques i estadística |
| Sumario: | Metabolomics, which is defined as the comprehensive analysis of metabolites in a biological system, has lots of applications that are leading to an important step forward in medicine. Since it is still an emerging field, researchers are trying to create computational tools that improve the processing, analysis and interpretation of metabolomics data. In this project, we have developed a new library in R based on MAIT (Metabolite Automatic Identification Toolkit) R package. Our algorithm provides a set of state-of-the-art tools to perform the whole metabolomics workflow, from raw liquid-chromatography coupled to mass spectrometry (LC-MS) data to the biological interpretation. |
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