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- Circall – fast and accurate methodology for discovery of circular RNAs from paired-end RNA-sequencing data
- Single-cell analysis support the use of PDAC organoids as a clinically relevant model for in vitro studies of tumor heterogeneity
- lncRNA Regulation of IFNɣ and Its Effect on Checkpoint Inhibitor Expression Enhances Understanding of Therapeutic Cancer Target
- Detection of atherosclerosis by small RNA-sequencing analysis of extracellular vesicle enriched serum samples
- Mayo Clinic collaborates with Personalis to to offer clinical-grade comprehensive cancer genomic sequencing
- Isoform variability is an important source of latent information in RNA-seq data that can be used to improve clinical prediction models.
- Transcriptome-wide RNA-protein interaction predictions
- tuMap – high-resolution quantitative comparison of cancer samples
- DUBStepR – a scalable correlation-based feature selection method for accurately clustering single-cell data
- Neuroscientists roll out first comprehensive atlas of brain cells
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