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Circular RNA (circRNA) is an emerging class of RNA molecules attracting researchers due to its potential for serving as markers for diagnosis, prognosis, or therapeutic targets of cancer, cardiovascular, and autoimmune diseases. Current methods for detection of circRNA from RNA ...

Researchers at the Technion’s Rappaport Faculty of Medicine have developed an innovative algorithm that detects an uninterrupted common denominator..

The advent of single-cell RNA sequencing (scRNA-seq) technologies has revolutionized transcriptomic studies. However, large-scale integrative analysis...

The integration of viruses into the human genome is known to be associated with tumorigenesis in many cancers, but the accurate detection of integration breakpoints from short read sequencing data is made difficult by human-viral homologies, viral genome heterogeneity, coverage ...

A research team from CSI Singapore investigated the associations between RNA modifications and clinical outcomes. They developed ModTect to...

scArches uses transfer learning and parameter optimization to enable efficient, decentralized, iterative reference building and contextualization...

Researchers from Hong Kong Baptist University have developed a novel supervised deep neural network which utilizes the image of the target TF-gene pair and the ones of the potential neighbors to reconstruct...

Cross-linking and immunoprecipitation followed by next-generation sequencing (CLIP-seq) is the state-of-the-art technique used to experimentally...

Detection of somatic point mutations using patients sequencing data has many clinical applications, including the identification of cancer driver genes...

Human pluripotent stem cells (hPSCs) are known to acquire genetic aberrations during in vitro propagation. In addition to recurrent chromosomal...