How does next-generation sequencing differ from Sanger sequencing in throughput?

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Multiple Choice

How does next-generation sequencing differ from Sanger sequencing in throughput?

Explanation:
The main idea here is how much data you can generate in one sequencing run, which is determined by parallel processing. Next-generation sequencing achieves high throughput by sequencing millions to billions of DNA fragments at the same time in parallel, across a flow cell or across multiple clusters. This massively parallel approach produces a huge volume of data quickly. In contrast, Sanger sequencing reads one DNA fragment at a time in a sequential manner, so its data output per run is much lower. So the correct statement highlights the massively parallel, high-throughput data generation of NGS compared with the much lower throughput of Sanger. The other options describe sequencing in ways that don’t match how NGS achieves such high data output.

The main idea here is how much data you can generate in one sequencing run, which is determined by parallel processing. Next-generation sequencing achieves high throughput by sequencing millions to billions of DNA fragments at the same time in parallel, across a flow cell or across multiple clusters. This massively parallel approach produces a huge volume of data quickly. In contrast, Sanger sequencing reads one DNA fragment at a time in a sequential manner, so its data output per run is much lower. So the correct statement highlights the massively parallel, high-throughput data generation of NGS compared with the much lower throughput of Sanger. The other options describe sequencing in ways that don’t match how NGS achieves such high data output.

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