Engineered algorithms identify strongly unique genomic k-mers in seconds across billions of sequences, substantially accelerating alignment-free sequence analysis and xenograft sorting.

Haoyu Cheng, Ph.D., assistant professor of biomedical informatics and data science at Yale School of Medicine, has developed a new algorithm capable of building complete human genomes using standard ...

Open-access databases such as the European Nucleotide Archive (ENA) contain more than 2.4 million bacterial genomes, and this number continues to grow rapidly. Until now, searching these vast ...

Long-read sequencing technologies analyze long, continuous stretches of DNA. These methods have the potential to improve researchers' ability to detect complex genetic alterations in cancer genomes.

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 ...

A new computational framework called JEEPERS detects and corrects methylation errors caused by jagged ends in cell-free DNA, ...

AI decodes the initiator, a genetic switch present in roughly 60% of focused human gene promoters, giving researchers the first-ever quantitative tool to predict whether specific DNA mutations at ...

In a single experiment, scientists can decipher the entire genomes of many patient samples, animal models or cultured cells. To fully realize the potential to study biology at this unprecedented scale ...

Do you like our content? Add us to yourGoogle favorites Every person carries a genetic identity that is one of a kind. That genotype is ...

Researchers at EMBL’s European Bioinformatics Institute (EMBL-EBI) have developed a new machine learning method called SAVANA that significantly reduces sequencing errors for cancer genomes. Long-read ...