uafR: An R package that automates mass spectrometry data processing
Publication: PLOS One
A new paper highlighting uafR, an R computer package developed by The Land Institute’s Crop Protection researchers and research collaborators, highlights the importance of this package for rapidly speeding up and simplifying the process of identifying chemicals from gas chromatography-mass spectroscopy (GC-MS) output. This open-source package can be utilized by chemists and chemical ecologists everywhere to rapidly process data on plant and animal chemistry and to quickly identify plants that have higher natural defenses against diseases and pests, intercrops that produce better chemical combinations to repel pests, and determine which chemicals in essential oils are most effective for pest management in the greenhouse.
The paper was published by Yvonne Thompson, Research Associated in Crop Protection Genetics; Ebony Murrell, Lead Scientist in Crop Protection Ecology; Chase Stratton, former postdoc at The Land Institute; Konilo Zio, former intern at The Land Institute, and USDA collaborator Rob Morrison.
Click here to watch the uafR video on YouTube to learn about this project and its importance directly from the researchers.