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New study reveals improved way to interpret high-throughput biological data

This study has developed a unique bioinformatics approach for identifying associations between molecules from a range of vast data sources. Applied to studies with the aim to measure metabolism in tissues under variating conditions e.g. genetics, diets and environment.

This image portrays cellular data being unravelled in stem cells.
Credit: TGAC


The paper titled, “ONION: Functional Approach for Integration of Lipidomics and Transcriptomics Data” is published in PLOS ONE.

The Genome Analysis Centre