Unlocking the Mystery of Mammal Evolution Through Machine Learning

Date:

Researchers from Carnegie Mellon University recently developed a new and innovative method for analyzing parts of genes to understand how species traits have evolved over time. Lead by Andreas Pfenning, an Assistant Professor at the School of Computer Science, the Zoonomia Project is committed to sequencing the genome of 240 mammals. The research team was aiming to shed light on significant components of genes and traits that are significant in preserving human health and preserving species diversity.

To further get insight into these enhancer regions in the genome, the scientists developed an algorithm known as the Tissue-Aware Conservation Inference Toolkit (TACIT). These enhancer regions, which are non-coding DNA regions, are essential for controlling gene activity and a major contributor to vertebrate evolution. Without careful examination of these regions, it would be difficult to comprehend the progress of species.

Irene Kaplow, lead author of the paper, described TACIT as an unprecedented opportunity to predict and analyze these regions, as samples from tissue cannot be obtained in some species. In satisfying their purpose, the team used TACIT to determine which genes and traits were associated with larger brains in mammals and also identified an enhancer tied to mammalian behavior that’s unique to the parvalbumin-positive inhibitory interneurons.

This breakthrough could bring new strategies to conservation biology. TACIT possibly allows researchers to draw conclusions on how endangered species have adapted to their environment while avoiding laboratory experiments.

Carnegie Mellon University is a private research university located in Pittsburgh, Pennsylvania. The core mission is to support groundbreaking research and path-breaking solutions. Carnegie Mellon emphasizes the development of interdisciplinary solutions to global challenges including health and sustainability. The university often collaborates with leaders in industry to expand research opportunities and develop breakthrough technologies.

See also  Machine Learning Algorithms to Identify Predictive Variables of Mortality Risk for Dementia Patients: A Longitudinal Cohort Study in Scientific Reports

Andreas Pfenning is an assistant professor from the School of Computer Science in Carnegie Mellon. He is the lead researcher of the Zoonomia Project, which is determined to sequence the genomes of 240 mammals. His research team developed an algorithm known as the Tissue-Aware Conservation Inference Toolkit (TACIT) in order to analyze enhancer regions in the genome. With the help of TACIT, his work has revealed important information regarding the evolution of species as well as new strategies for protecting biodiversity.

Frequently Asked Questions (FAQs) Related to the Above News

Please note that the FAQs provided on this page are based on the news article published. While we strive to provide accurate and up-to-date information, it is always recommended to consult relevant authorities or professionals before making any decisions or taking action based on the FAQs or the news article.

Share post:

Subscribe

Popular

More like this
Related

Samsung Unpacked Event Teases Exciting AI Features for Galaxy Z Fold 6 and More

Discover the latest AI features for Galaxy Z Fold 6 and more at Samsung's Unpacked event on July 10. Stay tuned for exciting updates!

Revolutionizing Ophthalmology: Quantum Computing’s Impact on Eye Health

Explore how quantum computing is changing ophthalmology with faster information processing and better treatment options.

Are You Missing Out on Nvidia? You May Already Be a Millionaire!

Don't miss out on Nvidia's AI stock potential - could turn $25,000 into $1 million! Dive into tech investments for huge returns!

Revolutionizing Business Growth Through AI & Machine Learning

Revolutionize your business growth with AI & Machine Learning. Learn six ways to use ML in your startup and drive success.