When comparing next-generation sequencing (NGS) vs quantitative PCR (qPCR) technologies, the key difference is discovery power. While both offer highly sensitive and reliable variant detection, qPCR can only detect known sequences. In contrast, NGS is a hypothesis-free approach that does not require prior knowledge of sequence information. NGS provides higher discovery power to detect novel genes and higher sensitivity to quantify rare variants and transcripts.
NGS vs qPCR technologies also differ in scalability and throughput. While qPCR is effective for low target numbers, the workflow can be cumbersome for multiple targets. NGS is preferable for studies with many targets or samples. A single NGS experiment can identify variants across thousands of target regions with single-base resolution.
When compared to qPCR, certain NGS methods can:
qPCR qPCR allows for the analysis of particular variants at specific locations. |
Targeted NGS Targeted NGS simultaneously sequences several hundreds to thousands of genes. |
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Challenges1-5 |
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* Discovery power is the ability to identify novel variants.
† Mutation resolution is the size of the mutation identified. NGS can identify large chromosomal rearrangements down to single nucleotide variants.
It became obvious how hit-and-miss gene association studies were in identifying variants. They were more like fishing expeditions. We realized that NGS would enable us to look at much larger portions of the genome simultaneously.
While qPCR is useful for quantifying the expression of a few genes, it can only detect known sequences. In contrast, RNA sequencing (RNA-Seq) using NGS can detect both known and novel transcripts. Because RNA-Seq does not require predesigned probes, the data sets are unbiased, allowing for hypothesis-free experimental design.
Key advantages of RNA-Seq over qPCR:
The choice between NGS and qPCR depends on several factors, including the number of samples, the total amount of sequence in the target regions, budgetary considerations, and study goals. qPCR is typically a good choice when the number of target regions is low (≤ 20 targets) and when the study aims are limited to screening or identification of known variants.
Otherwise, NGS is more likely to suit your needs. With the ability to sequence multiple genes across multiple samples simultaneously, targeted NGS methods save time and resources compared to traditional iterative methods. NGS also provides higher discovery power, enabling detection of novel variants.
The MiSeq System makes it easier and more affordable than ever to bring the power of next-generation sequencing to your lab. After sequencing is complete, tools such as Correlation Engine enable comparison of prior qPCR data with NGS data.
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Explore and compare benchtop sequencers to find the one that’s right for your research needs.
DRAGEN RNA app performs NGS secondary analysis of RNA transcripts.
Correlation Engine is an interactive omics knowledgebase that puts private omics data in biological context with highly-curated public data.
This 20+ page eBook is a comprehensive, yet easy-to-follow guide all about NGS methods and applications, workflows, data analysis solutions, and a step-by-step guide to getting started with NGS.
Download eBookNGS offers the power to sequence vast amounts of genetic material at a fraction of the time and cost of traditional methods. Learn more about how NGS compares to traditional molecular biology methods.
Thanks to its scale and unbiased discovery power, researchers can use NGS in a variety of basic and translational research areas. Learn more about the methods and applications of NGS.
Watch as a product team evaluates how AmpliSeq for Illumina Custom RNA assay compares to qPCR for analyzing differential gene expression.
If you have questions about NGS for your specific research focus, we’d love to help. Our specialists can answer any questions and recommend the best solution for your setup.