RNA-Seq Blog Transcriptome Research & Industry News
2016 Showcase | Team Talk | Using single nucleus RNA-seq to reveal cellular diversity
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- CellRegMap – a statistical framework for mapping context-specific regulatory variants using scRNA-seq
- TGIRT sequencing reveals abundant non-microRNA-small RNAs in BLCA tumor samples
- totRNAseq – high-throughput muscle fiber typing from RNA sequencing data
- THRONE – a new approach for accurate prediction of human RNA N7-methylguanosine sites
- Pan-cancer single-cell RNA-sequencing analysis reveals cancer cell states recur across tumor types
- BoT-Net – a lightweight bag of tricks-based neural network for efficient LncRNA–miRNA interaction prediction
- Unearthing novel fusions as therapeutic targets in solid tumors using targeted RNA sequencing
- Kassandra – precise reconstruction of the TME using bulk RNA-seq and a machine learning algorithm trained on artificial transcriptomes
- RNA Sequencing identifies potential targets for treating a common type of chronic, non-healing wound
- Kyoto scientists use mathematics to extract clear signals from single-cell RNA sequencing data
