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.
By Bhanvi Satija and Marleen Kaesebier LONDON/ZURICH, June 29 (Reuters) - Roche launched its next-generation gene sequencing ...
The human genome is made of more than 6 billion letters, and each person has a unique configuration of As, Cs, Gs, and Ts—the molecular building blocks that make up DNA. Determining the sequence of ...
Systemic sclerosis (SSc) is a severe autoimmune disease with complex genetic causes. Some genetic contributors have been identified, but others remain unknown, which has impeded development of ...
Roche has launched its Axelios gene sequencing machine, aiming to challenge Illumina's dominance in the genetic-testing ...
As public health officials around the world contend with the latest surge of the COVID-19 pandemic, researchers at Drexel University have created a computer model that could help them be better ...
Illumina CEO Francis deSouza unveils the NovaSeq X Series sequencing platforms. San Diego-based genomics pioneer Illumina on Thursday introduced a new machine that will sequence a human genome in half ...
SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes means ...
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 ...