RNA-Seq Data Analysis Software

RNA-Seq data analysis software overview

Recommended for the Following People

✔︎ People do not want to outsource or collaborate with external researchers.

✔︎ People do not have time to study analysis methods themselves.

✔︎ People tried software from other companies but found it difficult to operate.

Easily Conduct RNA-Seq Data Analysis even for a Beginner

This web-based software enables even beginners to easily conduct RNA-Seq data analysis without the need for a high-performance computer or programming skills.

Quantification of gene expression from raw data

Identification of differentially expressed genes

Overview

Starting with either raw RNA-Seq data (FASTQ files/public data) or expression tables (CSV/TSV files), users can perform gene expression quantification, identification of differentially expressed genes, gene ontology(GO) analysis, pathway analysis, as well as drawing volcano plots, MA plots, and heatmaps.

Overview

Functions

Quantification of Gene Expression

This feature quantifies gene expression levels from raw data (FASTQ files/public data).

Quantification of Gene Expression

Identification of Differentially Expressed Genes

This feature lists differentially expressed genes between different conditions.

Identification of Differentially Expressed Genes

Heatmap

Visualization of gene expression levels. Clustering is also performed simultaneously to place similar genes near each other.

Heatmap

principal Component Analysis(PCA)

Visualization of similarity between samples using principal component analysis.

principal Component Analysis(PCA)

Hierarchical Clustering

Visualization of similarity between samples using hierarchical clustering.

Hierarchical Clustering

MA plot

Plot of mean expression levels on the x-axis and expression changes on the y-axis.

MA plot

Volcano plot

Plot of expression changes on the x-axis and statistical significance on the y-axis.

Volcano plot

Gene Ontology(GO) Analysis

This feature detects Gene Ontology terms enriched in differentially expressed genes.

Gene Ontology(GO) Analysis

Pathway Analysis

This feature detects pathways enriched in differentially expressed genes.

Pathway Analysis

Data Sharing

Users can share data just by entering an email address.

Data Sharing

Pricing

All features are available for an annual fee of 250 USD.

Our softwareOther company's softwareContracted service
Pricing

7-day free trial

(120 USD/year)

About several thousand USD/yearAbout several hundred USD/analysis
PC SetupNo NeedRequiredNo Need
ParametersFreely configurableFreely configurablespecified by provider
DeliveryAvailable immediatelyInquiry to sales requiredSeveral days to weeks