RNA-seq STEM

RNA-seq (RNA sequencing) is a high-throughput sequencing technique used to study gene expression and transcriptomics. It involves converting RNA molecules into cDNA (complementary DNA) and then sequencing the cDNA fragments. The resulting data can be used to quantify gene expression levels, identify alternative splicing events, and discover novel transcripts.

STEM (short time-series expression miner) is a software tool commonly used for analyzing RNA-seq data. It allows for the identification of genes and pathways that are differentially expressed over time or under different experimental conditions. STEM uses a clustering algorithm to group genes with similar expression patterns and provides statistical tests to determine the significance of the observed patterns. This approach can help researchers identify biological processes that are associated with specific genes or groups of genes.