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Bulk RNA sequencing reads all the messenger RNA in a piece of tumour at once, giving one averaged expression value per gene for the whole sample.
RNA-Seq is a next-generation sequencing technique that quantifies and identifies the RNA molecules in a sample, a snapshot of the transcriptome at one time, by sequencing cDNA made from RNA (Wikipedia). Bulk means the whole tissue is processed together, so the profile averages cancer, stromal and immune cells. The transcriptome is the set of all RNA transcripts; the roughly twenty thousand protein-coding genes are the full-transcriptome feature set that gene panels subsample.
Showing the technology this term belongs to: RNA sequencing & expression profiling.
Shares Microarray expression data, TPM, FPKM and raw counts (expression units), Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Microarray expression data, TPM, FPKM and raw counts (expression units), Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Tumour purity, Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares TPM, FPKM and raw counts (expression units), Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Tumour purity, Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Single-cell RNA sequencing (scRNA-seq, 10x Chromium), Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Single-cell RNA sequencing (scRNA-seq, 10x Chromium), Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares STAR and Salmon (RNA-seq alignment and quantification), Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.