RNA-Seq Blog Transcriptome Research & Industry News
RNA-seq results often contain a PCA or MDS plot. This StatQuest explains how these graphs are generated, how to interpret them, and how to determine if the plot is informative or not.
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- Comparison of RNA-Seq data alignment and qene expression quantification tools for clinical breast cancer research
- GSEPD – a Bioconductor package for RNA-seq gene set enrichment and projection display
- LIONESS – estimating sample-specific regulatory networks
- RNA-Seq enables discovery of ‘kingpin’ stem cells, greater understanding of cancerous tumours
- TSEE – an elastic embedding method to visualize the dynamic gene expression patterns of time series single-cell RNA sequencing data
- Seeking Postdoc – Knowledge of de novo genome assembly, transcriptomics analysis (RNA-seq and others), coding in Python, Perl, and/or R
- Topological methods for visualization and analysis of high dimensional single-cell RNA sequencing data
- A novel method for the capture-based purification of whole viral native RNA genomes
- exceRpt – a comprehensive analytic platform for extracellular RNA profiling
- scRNA-Seq has identified a potential new way to treat eosinophilic esophagitis
