Thanks, very helpful
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To me the data you mentioned are no big reason to worry. They gave you more data for the first sample, but duplicates are certianly higher than expected.
The biases visible for the first 16 nt in the second plot indicate that they use Nextera or other transposase library preps - I do not like this chemistry because it introduces more biases than necessary.
The slightly varying read lengths is very curious - I have no clue how these could have been generated.
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by SEQadmin2
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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06-02-2026, 10:05 AM -
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by SEQadmin2
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...-
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05-22-2026, 06:42 AM -
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