RNA-Seq Blog Transcriptome Research & Industry News
Reads mapping is usually the first step of deep sequencing data analysis. Based on the deep sequencing technology, reads generated by RNA-Seq has similar properties with DNA reads generated by genome re-sequencing in terms of length, quantity, quality and other aspects. For example, they both have the short length, large quantities, uneven quality and high error rates. However, the RNA-Seq sequencing data also has its own characteristics because it’s from the RNA transcript. Specifically, in the process of transcription from DNA to mRNA, introns are cut out and exons are ligated together in the splicing sites. For the reads across the splicing sites, also known as junction reads, if you don’t break them from the middle, they will not be accurately mapped to the genome.
Don't Miss
- Learning to predict RNA sequence expressions from whole slide images
- CRIC-seq – global profiling of in-situ RNA–RNA contacts associated with a specific RNA-binding protein
- Novel machine-learning algorithm creates atlas of cancer with potential as universal diagnostic platform
- Long noncoding RNA profiling may be effective for stratification in pediatric AML
- SoCube – an innovative end-to-end doublet detection algorithm for analyzing scRNA-seq data
- Quantabio adds powerful bead booster chemistry to ultra-fast sparQ RNA-Seq HMR kit
- SiT – spatial isoform transcriptomics
- Analysis of single-cell rna-seq data
- AllenDigger – spatial expression data visualization, spatial heterogeneity delineation, and single-cell registration based on the Allen Brain Atlas
- New research identifies an inaccuracy in the single cell GENCODE gene model
