Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Non-parametric miRNA data analysis method based on miRBase database

A data analysis and database technology, applied in the data analysis field of miRNA sequencing, can solve the problems of no process analysis, no miRNA sequencing data analysis tools, etc.

Active Publication Date: 2019-06-07
南京派森诺基因科技有限公司
View PDF3 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there is currently no miRNA sequencing data analysis tool for unreferenced miRNA data
There is also no ready-made process analysis that can analyze small RNA sequencing data of animals and plants at the same time; especially there is no automated analysis platform to realize the process analysis tools of small RNA sequencing results, including subsequent sRNA annotation, miRNA sequence feature analysis, and expression analysis and differential analysis, target gene locus analysis, and automatic integration of various steps

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Non-parametric miRNA data analysis method based on miRBase database
  • Non-parametric miRNA data analysis method based on miRBase database
  • Non-parametric miRNA data analysis method based on miRBase database

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] The present invention will be further described by the following examples, but these examples should not be used to explain the limitation of the present invention.

[0040] In step S1), the user's small RNA sequencing data and related database information are accepted, and then all data are analyzed to obtain annotation information of all small RNAs in each sample, and sequence characteristics analysis and expression of miRNAs are performed Quantitative analysis, as well as differential expression analysis between samples, function and pathway enrichment analysis. Documents are prepared as figure 2 .

[0041] The first is to filter and count the disembarkation data. In the embodiment of the present invention, the off-machine data is filtered to remove adapters and low-quality sequences, so as to obtain high-quality sequencing results. As an example, the adapter sequence is removed, and the original sequence is searched through a 5bp sliding window. When the average...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a non-parametric miRNA data analysis method based on a miRBase database. The non-parametric miRNA data analysis method includes the following steps: a file preparation step; alogout data filtering step; a sRNA classified annotation step; a miRNA differential analysis step; a miRNA function and pathway analysis step; a miRNA sequence feature analysis step; and a result arrangement step. The non-parametric miRNA data analysis method based on a miRBase database has the advantages of performing analysis of miRNA sequencing data for reference-free miRNA sequences without the species; being comprehensive in the results including the miRNA analysis content involved and other measured small RNA information annotations; automatically arranging all the analysis results, andafter completing the analysis of each part, automatically counting the results, being visualized, and performing sorting and arrangement to enable the results to be arranged at a glance and used directly for report generation; and being visible for all the steps and being easy to query the errors.

Description

technical field [0001] The invention relates to the field of transcriptome sequencing, in particular to a data analysis method for miRNA sequencing without the reference miRNA data of this species in the miRBase database. Background technique [0002] miRNA is a class of non-coding single-stranded RNA molecules encoded by endogenous genes, which participate in post-transcriptional gene expression regulation in animals and plants. Most miRNAs exist in the genome in the form of single copy, multiple copies or gene clusters. miRNAs are widely found in many species and are highly conserved in the evolutionary process. Therefore, studying the exact function of miRNAs, target genes, and their mechanisms of action is an important part of transcriptomics data analysis, which is crucial for understanding genes in organisms. The mechanism of expression regulation is of great significance. [0003] There are obvious differences in the mechanism of action of miRNA between animals and ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G16B30/00
CPCY02A90/10
Inventor 王玲平王智健姜丽荣沈立孙子奎
Owner 南京派森诺基因科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com