@nanopore Updated: GPU/MinKNOW basecalling server walkthrough:
https://gringer.gitlab.io/presentation-notes/2021/10/08/gpu-calling-in-minknow/
@nanopore Updated: GPU/MinKNOW basecalling server walkthrough:
https://gringer.gitlab.io/presentation-notes/2021/10/08/gpu-calling-in-minknow/
📣 Que quelques places ! 4 sessions de formation destinées aux personnes disposant ou souhaitant acquérir un séquenceur
#OxfordNanopore #MinION ou #P2solo : 📷 4 avril, 27 mai (expériences) 📷 5 avril, 28 mai (bioinfo). Conseil : n'attendez pas😉
👉 https://genomique.biologie.ens.fr/fr/actualites_et_publications/emplois_et_formations
@nanopore we actually crossed over 70M reads with one of the flow cells!
@nanopore I now have a comparison of the same sample on Flongle (cleanup using SFB) and PromethION (cleanup using LFB) flow cells.
These were both called with the new bacterial caller in simplex mode. According to LAST-train, the qScore-adjusted substitution accuracy for the Flongle was q41, and the qScore-adjusted substitution accuracy for the PromethION was q45.
@nanopore hmm... looks like I messed up on the 3kb and 1.5kb ladder bands.
This new kmer-based mapper seems to be doing the right things, though. I'm very pleased.
@[email protected] That new bacterial @nanopore bascalling model is doing pretty well.
@nanopore #P2Solo another cDNA run that has exceeded 25M reads. The computer froze [again] in the middle of a sequencing run, after getting 6.24M reads, but I now have >25M reads from after the restart.
[FWIW, I care about 25M because that's the maximum that could ever be generated from a single Revio run, assuming perfect performance from all ZMWs]