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It weighs a ton and takes up half a room. Why? Any engineers here that knows what's going on inside?
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among other things, laser & optics, filter, cooling for the reagents and the entire interior, a liquid handling robot, an overengineered air table that runs on nitrogen - which was not really needed. -
"..an overengineered air table that runs on nitrogen - which was not really needed" please elaborate
I look at the RSII and a ONT minion and they (skipping some details) pretty much do the same thing (produce long reads). Yet the one requires concrete reinforced floors and the other can be held in your hand. Just find it astounding the difference in scale.Comment
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One of them is an optical platform doing laser based detection of nanometre scale wells, and the other ... isn't. You can't 'skip the details' here, the details are the reasonOriginally posted by BioinformaticsBro View Post"..an overengineered air table that runs on nitrogen - which was not really needed" please elaborate
I look at the RSII and a ONT minion and they (skipping some details) pretty much do the same thing (produce long reads). Yet the one requires concrete reinforced floors and the other can be held in your hand. Just find it astounding the difference in scale.
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PacBio captures videos from single fluorescent molecules that are in a specific location only for milliseconds. Thus, they are trying to avoid any vibrations.Comment
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Love this - good data definitely starts from good input, and poor input can only give relatively poor data. I particularly like the mention of Nanodrop/absorbance based methods for quantification. It's such a toss up if you'll get an accurate reading or what amounts to a randomly generated number, and a lot of library/sequencing related issues can be traced back to poor quant.Today, 11:43 AM
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I’m not a sequencing expert. I’m a purification scientist who uses NGS to evaluate workflows my group develops. With this perspective, we think about the sample first and the NGS workflow second. The sequencer is an exceptionally honest reporter, but it can only report on what you give it, so whether you get clean, interpretable data from an NGS workflow is largely determined before you begin.
Here are nine questions we think about, in roughly the order they matter, before... -
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.
...06-02-2026, 10:05 AM
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