Integrating transcriptomic techniques and k-means clustering in metabolomics to identify markers of abiotic and biotic stress in Medicago truncatula.

Elizabeth Dickinson Martin J Rusilowicz Michael DickinsonAdrian J CharltonUlrike Bechtold Philip M Mullineaux Julie Wilson

Published in: Metabolomics : Official journal of the Metabolomic Society (2018)

Probing metabolomic data with transcriptomic tools provides new insights and could help to identify resilient plant varieties, thereby increasing future crop yield and improving food security.

Keyphrases

single cell
rna seq
mass spectrometry
climate change
electronic health record
current status
single molecule
big data
global health
molecular dynamics simulations
human health
public health
stress induced
machine learning
risk assessment
artificial intelligence
arabidopsis thaliana
genome wide identification