Popular genetics tests can’t tell you much about your dog’s personality, according to a recent study. A team of geneticists recently found no connection between simple genetic variants and behavioral ...

Python has become one of the most popular programming languages out there, particularly for beginners and those new to the hacker/maker world. Unfortunately, while it’s easy to get something up and ...

The original version of this story appeared in Quanta Magazine. Imagine a town with two widget merchants. Customers prefer cheaper widgets, so the merchants must compete to set the lowest price.

Researchers discovered the gene that gives a rare wheat variety its unusual “triple-grain” trait. When switched on, the gene helps wheat flowers produce extra grain-bearing parts. The finding could ...

NEW ORLEANS — Could a look inside your DNA, that blueprint of what makes you who you are, guide you to better health and performance? A doctor says it is helping him treat his patients' aches, pains, ...

Scanning electron microscopy (SEM) images are already a common staple of battery research. Now, they can be paired with a simple algorithm to enable better prediction of lithium metal battery ...

New genetic research shows a simple genetic test can predict who’s most at risk for obesity, offering hope for early prevention, but also raises tough questions about genetic fairness and healthcare ...

Abstract: This paper deals with genetic algorithm implementation in Python. Genetic algorithm is a probabilistic search algorithm based on the mechanics of natural selection and natural genetics. In ...

Proteogenomics explores how genetic information translates into protein expression and function, and the role of changes across DNA, RNA, and proteins in influencing disease development and ...

Scientists at UCLA and the University of Toronto have developed an advanced computational tool, called moPepGen, that helps identify previously invisible genetic mutations in proteins, unlocking new ...

One July afternoon in 2024, Ryan Williams set out to prove himself wrong. Two months had passed since he’d hit upon a startling discovery about the relationship between time and memory in computing.