High background noise in RNA samples can impact read accuracy and increase sequencing costs. Optimizing sample quality enables better microRNA mapping and more reliable insights in transcriptomics and ...
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 ...
RNA plays critical roles in nearly all biological processes, but current methods for sequencing RNA are significantly limited. This is partially because RNA molecules are chemically modified within ...
RNA sequencing (RNA-seq) is a powerful tool in diagnosing Mendelian disorders, but the optimized sequencing depth for this technology has not yet been determined. In a new study published in the ...
RNA sequencing has emerged as a powerful supplement to DNA sequencing for Mendelian disease diagnosis, but clinical translation of diagnostic RNA-seq has not been widely achieved. Researchers at ...
Morgan Hiebert (left) studies drug-resistant tuberculosis within the National Reference Centre for Mycobacteriology (Winnipeg, Manitoba) led by Hafid Soualhine, situated in the National Microbiology ...
April 14, 2025 – Genome Research (https://genome.org) publishes a second special issue highlighting advances in long-read sequencing applications in biology and medicine. In this second Special Issue, ...
When RNA molecules are synthesized by cells — a critical process in the creation of proteins and other cellular functions — they typically undergo a series of “folding” events that determine their ...
Singleron Biotechnologies today announced the launch of MobiuSCOPE, a single cell RNA sequencing kit that provides full-length transcript analysis using standard short-read sequencing. This solution ...
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