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A while back ECO posted some great info on a 1x300 miseq run. Has anybody tried a similar run with an upgraded instrument to achieve a 500 nt read? Will the software permit this? How do the base qualities trail off?
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I dont see how it would. If the sum of your amplicon is shorter than that of your paired ends you can join them based on a region of overlap -
We've done several 1x300 runs with 300 cycle kits, and there is a noticeable dropoff in quality after ~base 250 on good runs. I can't imagine that a 1x500 run would give you more than ~300 bases of usable data.Comment
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The 1x300 runs you are referring to were likely done with v.1 kits?Originally posted by bbeitzel View Post
It is great if koadman is willing to sacrifice a v.2 kit and enlighten all on two things: if the 1 x 500 will work and where the drop-off in qualities can be expected to start.Comment
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Well of course I was hoping not to be the sacrificial lamb, but if nobody else has tried this and able to share data I guess I will take one for the team! Now just need to find a willing pair of lab hands here in Sydney...Comment
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Data variability is still an issue in sequencing technologies despite the advances in reproducibility and accuracy of these platforms. But the problem does not originate in the sequencing itself, but in the previous steps, before the sample reaches the sequencer.
The first step is collection, followed by preservation and sample preparation for analysis. Most scientists overlook those steps, but not being careful might just be skewing the experiment’s results.
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With the launch of new single-cell sequencing platforms in 2026, the field stands at an exciting inflection point. This article surveys the most impactful advances in the field and discusses how they’re reshaping research in cancer, immunology, and beyond.
Introduction
Single-cell sequencing technologies have undergone remarkable advances over the past decade, transitioning from low-throughput experimental approaches to highly scalable platforms capable of...05-22-2026, 06:42 AM
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