Ribonucleic acid (RNA) is a single strand nucleic acid responsible for genetic coding, decoding, regulation, and expression that consists of phosphate and ribose groups with several purposeful variants, notably messenger, transfer, and ribosomal RNA. RNA sequencing is a next-generation sequencing (NGS) technique capable of continuously analyzing cellular transcriptome and revealing the presence and quantity of RNA within a biological sample. The process entails reverse transcribing the extracted RNA into cDNA; subsequently, the cDNA is fragmented, enabling its input into an NGS workflow, after which adapters are added to both ends of the fragments. RNA sequencing is an expensive and time-consuming process due to its necessitation of an entire genomic library that is often difficult to analyze through traditional methods; however, applying computational methods can overcome these challenges through cutting edge data mining and informatics technologies. In this study, the SRR8671434 RNA sequence is quantified and analyzed for its ability to serve as an indicator for congenital afflictions. The findings in this paper can be applied towards preventing and curing associated diseases, as well as discerning other potential biomarkers within genetic materials.
Interaction of Nucleolin with an Evolutionarily Conserved Pre-ribosomal RNA Sequence Is Required for the Assembly of the Primary Processing Complex
