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Originally posted by TonyBrooks
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Thanks. Looks like I should use the HS kit since my DNA is only about 5 ng/ul -
it's pointed out in another thread somewhere but if you are switching between the 2 kits you need to do some comparison tests of your samples using each kit. BR tends to give a higher reading by a high percentage vs the HS in my experience.Originally posted by lailaizhang View Post
I once ran out of the BR dsDNA assay which I had been using to measure the concentration of my RNAseq libraries for cluster concentration calculations and instead used a HS assay in a pinch, did the calculations the same and clustered at "the same" concentration and all my libraries over clustered. I then did a side by side of the libraries with the BR and HS and there was on average a 29% difference between the values given, with the BR being higher. All the libraries were falling in the 40ng/ul range on the HS so they were well with in the BR kit range
I had good consistent clustering results with the BR assay when using it, and only had a problem with it when i switched to HS without making adjustments for the different values given. (<-- unknown to me at the time, or an oversight) I will stick with HS from now on for anything under 100ng/ul, I do feel like it is more accurate with in that range vs the BRLast edited by subxero; 10-01-2015, 04:23 AM.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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