BLANKA: an Algorithm for Blank Subtraction in Mass Spectrometry of Complex Biological Samples.
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ABSTRACT: Multispecies microbiome systems are known to be closely linked to human, animal, and plant life processes. The growing field of metabolomics presents the opportunity to detect changes in overall metabolomic profiles of microbial species interactions. These metabolomic changes provide insight into function of metabolites as they correlate to different species presence and the observed phenotypic changes, but detection of subtle changes is often difficult in samples with complex backgrounds. Natural environments such as soil and food contain many molecules that convolute mass spectrometry-based analyses, and identification of microbial metabolites amongst environmental metabolites is an informatics problem we begin to address here. Our microbes are grown on solid or liquid cheese curd media.
SUBMITTER: Cleary JL
PROVIDER: S-EPMC6675636 | biostudies-literature | 2019 Aug
REPOSITORIES: biostudies-literature
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