RNA-Seq Blog Transcriptome Research & Industry News
These demonstrations show how to extract differentially expressed genes between normal and tumor samples (part 1), and potential controller miRNAs of them (part 2).
Don't Miss
- Improved nanopore read accuracy enables single-cell RNA sequencing
- Single-cell RNA sequencing reveals the genetic code of growing limbs
- A robust methodology for assessing differential homeolog contributions to the transcriptomes of allopolyploids
- RNA-Seq identifies skin origins, could lead to better grafts
- GraphDDP – a graph-embedding approach to detect differentiation pathways in single-cell-data using prior class knowledge
- Single-cell RNA-Seq gives scientists unprecedented view of brain development
- BGP – identifying gene-specific branching dynamics from single-cell data with a branching Gaussian process
- iSEE – an interactive Shiny-based graphical user interface for exploring data stored in SummarizedExperiment objects
- Vex-seq – high-throughput identification of the impact of genetic variation on pre-mRNA splicing efficiency
- Medicare covers Veracyte’s RNA-Seq based Envisia Test
