Detail publikace

Metabolite Genome-wide Association Studies of Arabidopsis Thaliana

SCHWARZEROVÁ, J.

Originální název

Metabolite Genome-wide Association Studies of Arabidopsis Thaliana

Anglický název

Metabolite Genome-wide Association Studies of Arabidopsis Thaliana

Jazyk

en

Originální abstrakt

Current research based on the edge of bioinformatics and ecology engineering has huge potential due to combination of laboratory analyses and advanced bioinformatics algorithms. The paper deals with a combination of GC-MS and LC-MS based metabolomic analysis for identification and quantitation of metabolites in environmental perturbations with advanced bioinformatics approach of metabolite genome-wide association studies (mGWAS). This complex view is applied to Arabidopsis thaliana. The main goal is to obtain genetic predictions focused on A. thaliana under different environmental conditions. Currently, important ecological issues such as climate change, pollution etc. have impact on the change of environment. It has a great effect on plants which serves as producers of oxygen or food. While simple observation reveals only a phenotype change, changes in genotypes of organisms can be captured using mGWAS and further utilized in industrial ecology and biotechnology.

Anglický abstrakt

Current research based on the edge of bioinformatics and ecology engineering has huge potential due to combination of laboratory analyses and advanced bioinformatics algorithms. The paper deals with a combination of GC-MS and LC-MS based metabolomic analysis for identification and quantitation of metabolites in environmental perturbations with advanced bioinformatics approach of metabolite genome-wide association studies (mGWAS). This complex view is applied to Arabidopsis thaliana. The main goal is to obtain genetic predictions focused on A. thaliana under different environmental conditions. Currently, important ecological issues such as climate change, pollution etc. have impact on the change of environment. It has a great effect on plants which serves as producers of oxygen or food. While simple observation reveals only a phenotype change, changes in genotypes of organisms can be captured using mGWAS and further utilized in industrial ecology and biotechnology.

Dokumenty

BibTex 


@inproceedings{BUT172026,
  author="Jana {Schwarzerová}",
  title="Metabolite Genome-wide Association Studies of Arabidopsis Thaliana",
  annote="Current research based on the edge of bioinformatics and ecology engineering has huge
potential due to combination of laboratory analyses and advanced bioinformatics algorithms.
The paper deals with a combination of GC-MS and LC-MS based metabolomic analysis for identification and quantitation of metabolites in environmental perturbations with advanced bioinformatics approach of metabolite genome-wide association studies (mGWAS). This complex view is applied to Arabidopsis thaliana. The main goal is to obtain genetic predictions focused on A. thaliana
under different environmental conditions. Currently, important ecological issues such as climate
change, pollution etc. have impact on the change of environment. It has a great effect on plants
which serves as producers of oxygen or food. While simple observation reveals only a phenotype
change, changes in genotypes of organisms can be captured using mGWAS and further utilized in
industrial ecology and biotechnology.",
  address="Brno University of Technology, Faculty of Electrical Engineering and Communication",
  booktitle="Proceedings of the 27th Conference STUDENT EEICT 2021 selected papers",
  chapter="172026",
  doi="10.13164/eeict.2021.41",
  edition="1",
  howpublished="online",
  institution="Brno University of Technology, Faculty of Electrical Engineering and Communication",
  year="2021",
  month="april",
  pages="41--44",
  publisher="Brno University of Technology, Faculty of Electrical Engineering and Communication",
  type="conference paper"
}