Small RNA Analysis

Small RNA Analysis

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CD Genomics provides global bioinformatic analysis service. We use advanced analysis methods to analyze small RNA sequencing data, and can quickly identify and predict various types of small RNA at the genome-wide level to obtain all genes related to regulation.

Introduction of Small RNA Data Analysis

Small RNA refers to endogenous RNA with a length of 18 to 30 nt, including miRNA, siRNA and piRNA. They play an important role in the regulation of mRNA transcription and post-transcription levels, participating in various biological processes such as cell growth, differentiation, and metabolism. The function of small RNA in the normal development of the organism and the disease process is also vital.

Small RNA sequencing data analysis refers to the large-scale detection of small RNAs of target samples based on high-throughput sequencing platforms, combined with bioinformatics mining, to conduct a comprehensive analysis of miRNA, siRNA, piRNA in samples. This type of analysis can identify known small RNA, predict new small RNA and predict the target genes of small RNAs, providing a powerful means for studying the function, structure and regulatory mechanism of small RNA.

Differentially expressed miRNAs in colorectal cancer samples.Fig 1. Differentially expressed miRNAs in colorectal cancer samples (p<0.05). (Srinivas V K, et al. 2017)

Application Field

Cancer research

Disease Research

Animal and Plant Research

Disease biomarkers

Molecular diagnostic testing

Advantages of CD Genomics

Rich experience in small RNA analysis sequencing data analysis.

Reliable analysis results.

Comprehensive analysis

Flexible custom analysis

CD Genomics Data Analysis Pipeline

CD Genomics Small RNA sequencing data analysis pipeline - CD Genomics.

Bioinformatics Analysis Content

CD Genomics uses authoritative algorithms in academia to systematically classify and annotate miRNA, siRNA, piRNA, and unknown small RNA, and then fully explore the regulatory functions of small RNA through base editing analysis, expression level analysis, and target gene prediction.

Data preprocessing Sequencing data statistics
Remove adapter sequence and low-quality sequence
Statistical data output
Assess the quality of sequencing
Map to reference genome Statistical comparison rate
Coverage calculation
Small RNA identification Screen and identify miRNA, siRNA, piRNA
Screen and identify new sRNA
Sequence analysis Distribution of Small RNA on selected reference genomes
Comparison of Small RNA and exon/intron
miRNA seed sequence analysis
Differential expression analysis MiRNA difference analysis between samples
Differential miRNA cluster analysis
MiRNA target gene analysis MiRNA target gene prediction
MiRNA target gene GO annotation analysis
MiRNA target gene KEGG pathway analysis

For small RNA sequencing data analysis, if you have other sequencing data, such as circular RNA sequencing data, we can provide you with interaction analysis of miRNA and circular RNA based on your data. If you have other analysis needs, we will negotiate and determine the most suitable analysis content based on your data and needs. For analysis content, price, cycle, if you have any questions, please click online inquiry.

How It Works

CD Genomics is a high-tech company specializing in multiomic data analysis. We provide services such as project design, data analysis, and database construction. With a focus on developing breakthrough products and services, we are a pioneer in the biotechnology industry, serving researchers and partners worldwide.

How It Works

CD Genomics has successfully conducted small RNA sequencing data analysis on a variety of species. Experienced teams of scientists, researchers, and technicians, we provide fast turnaround, high-quality data reports at competitive prices for worldwide customers. Customers can contact our employees directly and we will respond promptly. If you are interested in our services, please contact us for more detailed information.


  1. Srinivas V K, et al. Exploration of small RNA-seq data for small non-coding RNAs in Human Colorectal Cancer. Journal of Genomics, 2017; 5: 16-31.
* For Research Use Only. Not for use in diagnostic procedures.
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