RNA Sequencing Data Analysis Solutions
User-friendly RNA-Seq analysis tools designed for biologists
Intuitive Analysis of RNA-Seq Data
Once in the domain of bioinformatics experts, RNA sequencing (RNA-Seq) data analysis is now more accessible than ever. Illumina offers push-button RNA-Seq software solutions packaged in intuitive user interfaces designed for biologists.
These user-friendly tools support a broad range of next-generation sequencing (NGS) studies, from gene expression analysis to total RNA expression profiling and more.
Benefits of RNA-Seq Data Analysis with Illumina Tools
RNA-Seq data can be quickly and securely transferred, stored, and analyzed in Illumina Connected Analytics or BaseSpace Sequence Hub, the Illumina multiomics cloud computing platforms. Both platforms offer in-cloud access to the DRAGEN Bio-IT Platform for accurate, ultra-rapid secondary analysis of RNA-Seq and other NGS data.
DRAGEN uses lossless genomic data compression to reduce the data storage footprint by as much as 5x, all while preserving data integrity. Learn more about:
Our RNA-Seq analysis apps are:
- Accessible to any researcher, regardless of bioinformatics experience
- An expert-preferred suite of RNA-Seq software tools, developed or optimized by Illumina or from a growing ecosystem of third-party app providers
- Designed to support common transcriptome studies, from gene expression quantification to detection of novel transcripts, coding single nucleotide polymorphisms (cSNPs), gene fusions, and more
- Suitable for human, mouse, and rat RNA-Seq analysis (certain apps support additional species)
- Compatible with all Illumina sequencing systems
Core Lab Uses BaseSpace to Analyze mRNA-Seq Data
The BRC-Seq core sequencing facility at the University of British Columbia uses BaseSpace Sequence Hub to analyze and share data. Their studies frequently involve analysis of mRNA sequencing data to assess the impact of different experimental treatments on the transcriptome. The BaseSpace workflow helps BRC-Seq track samples and deliver high-quality sequencing data to its customers.
Read InterviewFeatured RNA-Seq Analysis Apps
Based on frequently cited RNA-Seq analysis pipeline, these apps support a broad range of transcriptome data analysis needs.
| Method | Featured App |
|---|---|
| mRNA Sequencing | |
| Targeted RNA Sequencing | BaseSpace RNA Amplicon App |
| Small RNA Sequencing | BaseSpace Small RNA App |
| Infectious Disease Sequencing |
How to Analyze RNA-Seq Data with BaseSpace Apps
Walk through a typical BaseSpace Sequence Hub RNA sequencing data analysis workflow, from choosing your sequencing runs through selection of analysis parameters and analysis of results.
View examples of the easily interpretable tables and graphs that the software generates, including descriptions of differential expression, gene fusion detection, variant calling, and other reports that can be incorporated into a manuscript.
Read Technical Note
Interpretation of RNA-Seq Data
After data analysis, results can be transferred easily to BaseSpace Correlation Engine for functional annotation, to understand the biological effects of gene expression changes. BaseSpace Correlation Engine contains data sets from thousands of public studies that inform biological interpretation. Connect differential gene expression data from RNA-Seq experiments with disease associations, or visualize correlated genes and microRNA targets.
Explore BaseSpace Correlation EngineSimplifying Genomic Data Mining
Learn how BaseSpace Correlation Engine facilitates genomic data interpretation. See examples of distinguished universities and pharmaceutical companies that have cited this tool in peer-reviewed publications.
Read Blog Post
View Sample Data Sets
See sample data sets for various methods in BaseSpace Sequence Hub, or test BaseSpace Apps and evaluate the results interactively.
Note that a customer login is required to access BaseSpace Sequence Hub and view specific data sets.
Multiomics Profiling
Combine RNA-Seq data with data from other modalities such as epigenetics and proteomics, to measure gene expression, gene regulation, and protein levels.
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