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Originally posted by GenoMax View PostI thought the only default option one had was to deny existence/all knowledge of the "entity" that was subject of a NDA. I was surprised at your admission in that context.
I'm from New Jersey...we bury NDA's in the Meadowlands or under Giants Stadium.
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The embargo has been lifted so we can finally talk about the new Ion S5 – it’s basically a streamlined combination of the PGM and Proton made as easy to use as possible for ‘novice users’. See our blog post for more details and then tell us what you think: A useful addition to the NGS market? Too little too late?
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Originally posted by GW_OK View PostDoes anyone know reagent costs? All I'm seeing discussed is equipment price.
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As far as I can tell, costs are almost the same when comparing PGM-318 vs S5-520 and Proton PI vs S5-540. Correct?
So really what is missing with the S5 is the low-output low-cost option of the PGM-314 and -316. Not sure if that is such a smart idea, since there are labs around that want to run a low throughput sample quickly without waiting for more samples to come in. That has been one of the big plus points for Ion IMHO, plus the extremely well working Ampliseq custom panels......
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Originally posted by Xray1 View PostAs far as I can tell, costs are almost the same when comparing PGM-318 vs S5-520 and Proton PI vs S5-540. Correct?
So really what is missing with the S5 is the low-output low-cost option of the PGM-314 and -316. Not sure if that is such a smart idea, since there are labs around that want to run a low throughput sample quickly without waiting for more samples to come in. That has been one of the big plus points for Ion IMHO, plus the extremely well working Ampliseq custom panels......
As far as the quality of sequencing, so far, so good (maybe even a bit better than the PGM).
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While isolating and preparing single cells for sequencing was historically the bottleneck, recent technological advancements have shifted the challenge to data analysis. This highlights the rapidly evolving nature of single-cell sequencing. The inherent complexity of single-cell analysis has intensified with the surge in data volume and the incorporation of diverse and more complex datasets. This article explores the challenges in analysis, examines common pitfalls, offers...-
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