Researchers leverage machine learning to find surprising temperature-genome correlation

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Researchers leverage machine learning to find surprising temperature-genome correlation
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A recent study by researchers uncover clues in extremophiles' genomes, revealing genomic shifts and hinting at astrobiological implications.

Researchers from the University of Waterloo and Western University have uncovered a previously unnoticed dimension within an organism’s genome.

In the 1990s, scientists discovered that an organism’s species could be identified by counting the occurrences of these DNA words., Kathleen A. Hill and Lila Kari, co-authors of the study, drew an analogy to differentiating between English and French books based on word frequencies. The authors highlighted that while these domains are genetically distinct, the newfound environmental dimension, especially the clustering of bacteria and archaea, indicates that the extreme temperature environment they live in caused systemic shifts in their genomic language.

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