Sequence analysis is a cornerstone of modern bioinformatics, encompassing the computational exploration of biological sequences—be they DNA, RNA or proteins—to reveal insights into structure, function ...
A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...
Due to its high accuracy and fast, simple workflow, capillary electrophoresis (CE) is a foundational technology for clinical applications. CE is an invaluable tool used to detect genetic variations ...
As high-throughput genomic sequencing generates increasing data volumes, researchers face challenges in identifying functional gene regions within DNA ...
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 ...
Genetic variants that cause rare disorders may remain elusive even after expansive testing, such as exome sequencing. The diagnostic yield of genome sequencing, particularly after a negative ...
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 ...
According to MarketsandMarkets™, the Next-Generation Sequencing Market is projected to grow from about USD 14.94 billion in ...
Unless you’ve been hiding under a rock for the past few years, you know next-generation DNA sequencing is all the rage. The technique has gone from gee-whiz to practically routine in the five years ...
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