See also stories tagged with DNA sequence
Deep learning approaches have transformed how scientists predict the activity and function of DNA sequences in the genome. A new AI tool called Corgi (Context-aware Regulatory Genomics Inference), developed by Martin Vingron's ...
Researchers have demonstrated a novel AI model that can predict which DNA molecules bind with other DNA molecules. A more thorough understanding of these hypercomplex binding relationships has utility in applications ranging ...
Phylo-Plex, a new computational method, has been developed by Wellcome Sanger Institute scientists and their collaborators to allow cost-effective and scalable DNA sequencing of pathogens in laboratories with limited resources. ...
The DNA in a single cup of water can track wildlife, monitor pollution and survey pathogens in waterways and their surroundings, all at the same time.
"Complex chemical processes are essential for making DNA." This long-held assumption in the field of biotechnology has been overturned by a Korean research team. A KAIST research team has developed the world's first foundational ...
Researchers from UNSW Sydney have built the first artificial protein motor capable of taking controlled, directional steps along a DNA track. The protein, dubbed Tumbleweed, moves by alternating between three "feet" that ...
In the study of bacteria, a longstanding dogma has held that two molecular machines—RNA polymerase, which leads the way in transcribing DNA into RNA, and ribosomes, which bring up the rear translating RNA into proteins—worked ...
Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect splicing remains a major challenge. Although recent artificial intelligence (AI) models have improved ...
For more than three decades, researchers studying genomes have relied on foundational resources such as Repbase and, more recently, Dfam to identify and classify transposable elements—the mobile DNA sequences that shape genome ...
A new method for recognizing and targeting DNA that dramatically expands the range of genetic sequences scientists can identify has been developed by experts at the University of Portsmouth. Published this week in Nature ...
