A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral ...
Phylogenetic analysis and DNA sequence representation are foundational pillars in modern molecular biology and bioinformatics. These approaches not only facilitate the reconstruction of evolutionary ...
"By cleverly combining new techniques for analyzing DNA at the level of individual molecules, we can achieve real breakthroughs in research into conditions such as dementia," predicts Professor John ...
Roche has put forward a new approach to genetic analysis, which it describes as sequencing-by-expansion—a proprietary method that pulls apart the DNA molecule and amplifies the signal of each ...
Morning Overview on MSN
Google DeepMind AI lights up the dark genome and flags risky DNA tweaks
Google DeepMind’s latest artificial intelligence model is turning the most mysterious stretches of human DNA into readable text, and in the process, it is flagging which tiny edits could tip a cell ...
A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...
Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...
When TV shows like CSI: Crime Scene Investigation portray DNA processing in the forensic lab, the results appear instantly with a DNA match wrapping up the case in hours. However, the ...
In a way, sequencing DNA is very simple: There's a molecule, you look at it, and you write down what you find. You'd think it would be easy—and, for any one letter in the sequence, it is. The problem ...
A Roman-era skeleton discovered in southern England has finally given up her secrets after more than a decade of debate.
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