A multiomics approach provides insights into flu severity

Researchers were able to identify changes in the accessibility (that is, the ‘readability’) of transposable elements. To do this, the researchers used an approach combining various sets of multiomics data, which characterize and quantify collections of biomolecules in cells or organisms. One was the transcriptome, which consists of all copies of RNA transcribed from DNA in the cell. The other was the epigenome, which is the collection of chemical changes to DNA that modify gene expression. An advantage of this multiomics approach is that they were able to identify families of transposable elements with changes in accessibility, which would have likely been missed by previous approaches.

Source: sciencedaily.com

Related posts

Global methane emissions automatically detected in satellite imagery using AI

Global methane emissions automatically detected in satellite imagery using AI

Meet the new insect killing Utah’s fir trees