lncRNA identification and expression quantification analysis method

Abstract

The invention discloses an lncRNA identification and expression quantification analysis method, which is characterized by comprising a series of a sequencing data filtering step, a sequencing data comparison step, a transcription splicing step, a gene comparison step, an lncRNA filtering step and an lncRNA analysis step. According to the method, the new lncRNA can be discovered, and the annotationaccuracy of the lncRNA is improved.

Description

technical field [0001] The invention relates to the field of gene detection, in particular to an analysis method for lncRNA identification and expression quantification. Background technique [0002] Non-coding RNA is a class of functional RNA molecules that do not translate proteins. Common regulatory non-coding RNAs include siRNA, miRNA, piRNA, and long non-coding RNA. A large number of studies have shown that non-coding RNA plays an increasingly important role in the regulation of epigenetics. People's understanding of lncRNA (Long noncoding RNAs, lncRNAs) is still in its infancy, and lncRNA was initially considered as the "noise" of genome transcription, a by-product of RNA polymerase II transcription, and has no biological function. However, literature studies have shown that lncRNA is involved in many important regulatory processes such as X chromosome silencing, genome imprinting, chromatin modification, transcriptional activation, transcriptional interference, and n...

AI Technical Summary

Problems solved by technology

Existing microarray-based lncRNA analysis methods rely on known lncRNA information and cannot discover new lncRNAs

[0004]Other high-throughput sequencing-based lncRNA analysis methods mostly use old comparison and annotation software, and the accuracy of lncRNA annotation is limited

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