Translating the Transcriptome: Deeper Discovery Starts Here
Panome Bio utilizes RNA-Seq for transcriptome analysis to measure expression of thousands of genes across multiple conditions. RNA-Seq provides a comprehensive characterization of the transcriptome where researchers can determine how genes are expressed and how those genes play a role in disease progression. Panome Bio’s proprietary computational pipeline intertwines transcriptomics, proteomics, and metabolomics data to deepen mechanistic insights and for impactful biomarker discovery.
Advantages of our Transcriptomics Offering:
- Ideal for biomarker discovery & mechanisms of action studies
- Integrate with other ‘omics data
- High throughput and scalable
- Suitable for large cohort studies
- Minimal input materials required
- Customized workflows designed for a variety of sample types
Frequently Asked Questions
What is RNA-Seq transcriptomics used for?
RNA-Seq measures the expression of thousands of genes across multiple conditions, allowing researchers to characterize the transcriptome and understand how gene expression contributes to disease progression.
Can transcriptomics data be integrated with proteomics and metabolomics?
Yes. Panome Bio’s proprietary computational pipeline intertwines transcriptomics, proteomics, and metabolomics data to deepen mechanistic insight and support biomarker discovery.
Is RNA-Seq transcriptomics suitable for large cohort studies?
Yes. The workflow is high-throughput and scalable, making it well suited for large cohort studies as well as smaller mechanism-of-action projects.
How much sample input is required for transcriptomics analysis?
Panome Bio’s transcriptomics workflows are designed to require minimal input material, with customized workflows available for a variety of sample types.