Originally posted by sajeshpk
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Welcome to the (somewhat) wacky world of PacBio.Originally posted by sajeshpk View PostThere is another suggestion from PacBio is that system and smrtlink need to be restarted every 24 days, Is it true?
Please help
I would suggest following all recommendations from PacBio/your FAS and keeping a good log of everything to help with troubleshooting.
A brand new technology/system needs to undergo a shakedown in real user's hands and perhaps this is just part of that process.Last edited by GenoMax; 12-13-2016, 05:48 AM.
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For those who may have missed it - Roche Diagnostics pulled out of their marketing agreement with PacBio: http://www.pacb.com/press_releases/p...e-diagnostics/. In the short term this means PacBio stock is cratering. In the mid- to long-term it means PacBio will have to (or 'gets to', depending on your perspective) bring a clinical version of the Sequel to market.
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Here is a list of PacBio certified service providers, including those who offer services on the Sequel System: http://www.pacb.com/wp-content/uploa..._Providers.pdf
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From what I've been told, really good PacBio runs produce about 10Gb of sequence data. I would expect that PacBio will produce less raw data than nanopore for the same sequence output, so I expect that you should be fine with about ten times that amount in space to store both sequence and raw data (i.e. 100GB).
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We just received some Sequel data and the size of the tar files was about 20G for each cell. From past experience RSII data was ~15-25G per SMRTcell (uncompressed).Originally posted by Sandra Agueros View PostDoes anybody knows how much a Pac Bio run take up in Gigabytes storage?
For example, a NextSeq Run can take up to 1.2 Tb in storage. I need this info pleaasee! jeje Thanks
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We have found Sequel output to be inconsistent and not sure if it is our machine. Just completed three SMRT cell runs with one library prepared for sequencing in bulk sequenced one after another but the output varies up to 125% ( 4.5, 2 and 3Gb output). I wonder if anyone have seen similar results.
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by GATTACATLove 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.
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07-01-2026, 11:43 AM -
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by SEQadmin2
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...-
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