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

Multiple sequence alignment (MSA) is a cornerstone of computational biology, facilitating the exploration of functional, structural and evolutionary relationships among biological sequences.

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 ...

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 ...

Bioinformatics researchers who perform alignments of long protein sequences face a difficult choice: They can get accurate results in hours (sometimes days), or quick results if they're willing to ...

In the recent past, you probably attended a virtual lunch-and-learn presentation, read an article, or had a discussion with a controls sales representative in which the topic was a chilled water plant ...