THE DIFFERENCE OF ONE TRANSCRIPT

WITH GREATER DETAIL AND FEWER SEQUENCING READS.

You aren’t alone. Large single-cell data sets can be challenging to analyze; workflows can be difficult; and experiments can be prohibitively expensive, getting in the way of your ability to do the research you want to do.

While whole transcriptome amplification (WTA) assays can be a valuable tool to determine what genes are important, these assays may be impractical to scale. Up to two-thirds of sequencing reads are often spent on analysis of highly abundant gene targets, which contribute little to understanding differences between cell types.

But BD is democratizing the exciting world of single-cell RNA sequencing with the BD Rhapsody Single-Cell Analysis System, our newest platform that enables expression profiling of tens of thousands of cells.

BD Rhapsody targeted, customizable panels allow you to focus on the genes that really matter, including rare transcripts, reducing sequencing waste. BD Rhapsody empowers any lab to harness the power of single-cell data by making experiments easier and more cost-efficient.


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Analyze up to 20,000 cells

Analyze up to 20,000 cells on one BD Rhapsody cartridge.

Multiplex up to 12 samples

Multiplex up to 12 samples in parallel on one BD Rhapsody cartridge.

Choose or create panels

Choose from our predesigned, customizable panels or create your own custom panels with BD tools and support.

More sensitivity, less cost

Achieve increased sensitivity at drastically reduced sequencing costs through targeted analysis.

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Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas vestibulum tortor quam.

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Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas vestibulum tortor quam.

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Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas vestibulum tortor quam.

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Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas vestibulum tortor quam.

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Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas vestibulum tortor quam.

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Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas vestibulum tortor quam.

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Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas vestibulum tortor quam.

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Pellentesque habitant morbi

  • Tristique senectus et netus et malesuada
  • Tristique senectus et netus et malesuada
  • Tristique senectus et netus et malesuada
  • Tristique senectus et netus et malesuada

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Pellentesque habitant morbi

  • Tristique senectus et netus et malesuada
  • Tristique senectus et netus et malesuada
  • Tristique senectus et netus et malesuada
  • Tristique senectus et netus et malesuada

Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas vestibulum tortor quam.

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