Years of experiments and databases filled with RNA-seq results belie the simple reality that, until fairly recently, it was impossible to analyze RNA directly. The RNA-seq studies performed with ...
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 comprehensive review article titled “Bioinformatics perspectives on transcriptomics: A comprehensive review of bulk and single-cell RNA sequencing analyses,” published in Quantitative Biology, ...
This article and associated images are based on a poster originally authored by Marisa Amato and presented at ELRIG Drug Discovery 2025 in affiliation with Singleron Biotechnologies GmbH. This poster ...
SG-NEx provides an open-access resource for the global research community, accelerating biomarker discovery and precision medicine through: Singapore – A team of scientists led by the A*STAR Genome ...
An individual’s genome is identifiable. But datasets of RNA sequences from single cells are like a blurry photocopy of the genome. The sequence numbers are small, the data are noisy, and the sequences ...
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spVelo: A New Method for Integrating Spatial and Temporal Data in RNA Velocity Analysis
Essentially all cells in an organism's body have the same genetic blueprint, or genome, but the set of genes that are actively expressed at any given time in a cell determines what type of cell it ...
Out of touch: Understanding the frequency and trajectory of chemotherapy-induced neuropathy peripheral (CIPN) in breast cancer survivors. Incidence of ocular toxicities in patients with ...
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