In a recent preprint* uploaded to the bioRxiv server, researchers developed and trained a foundational model to predict tissue-specific RNA expression, splicing, RNA binding protein specificity, and ...
In a recent study published in the journal Cell, researchers developed a deep learning model, "LucaProt," a transformer-based AI model to detect highly divergent ribonucleic acid (RNA)-dependent RNA ...
Researchers at Northeastern University in Boston have created a hybrid model to better understand how RNA’s structure and functional dynamics control biological systems. This modeling strategy ...
Technology Is Improving Efficiency of Processing Small and Degraded Specimens Analysis of RNA provides the gateway to deciphering cells’ intricate workings. Such information is critical for dissecting ...
This presentation will describe both common and specialized multiplex methods for RNA in situ hybridization (ISH) and immunohistochemical labeling of proteins (IHC). We initially used neuronal cell ...
Plasmidsaurus, has announced two transformative evolutions of its RNA-Seq ecosystem: the launch of a high-capacity RNA sequencing hub in Cologne, Germany, and a global partnership with Genovis to ...
Samples are commonly stored in a way that degrades RNA. Scientists are devising new ways to overcome this obstacle for RNA sequencing. RNA is more subject to degradation than DNA, whether chemical, ...
Scientists have long pondered the beginnings of life on Earth. One theory is that RNA, which is ubiquitous across all domains of life, played a central role in early life. Similar to DNA, RNA ...
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