Genetic algorithms borrow their name and principles from biological evolution, but can they help researchers discover the fundamentals of life? Evolution is one of the most widely known theories in ...

The optimisation of process planning has emerged as a pivotal aspect of modern manufacturing, where genetic algorithms (GAs) and hybrid techniques are leveraged to address the combinatorial complexity ...

Disease development is often shaped by genetics, with how much or how little a gene is expressed influencing disease risk.

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 ...

This is a preview. Log in through your library . Abstract A reliability analysis method is presented for time-dependent systems under uncertainty. A level-crossing problem is considered where the ...

Researchers have developed a method to derive enough DNA information from non-DNA sources—such as RNA—to clearly identify individuals whose biological data are stored in massive research repositories.

The first use of phylogenetic techniques shows the 'ancestral' virus genome closest to those in bats was not Wuhan's predominant virus type. The study charts the 'incipient supernova' of COVID-19 ...

Scientists with UC San Diego's Jacobs School of Engineering and the Qualcomm Institute have developed a new gene prediction algorithm, called MINING-D, that could help researchers investigate the ...

A graph-based computational tool for detecting previously invisible genetic mutations has been developed. Researchers at the University of California, Los Angeles (UCLA; USA) and the University of ...