Samuel Talbot @SamCTalbot
Faculty Research Ast at the Center for Quantitative Life Sciences. Focused on genome assembly, gene annotation, and identifying R-genes. Vining & Deluc Lab. Oregon State University Joined January 2021-
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The AI models will not be able to predict true biology. The data is too poor. Too many assumptions using tools for which it doesn’t have the context or understand the limitations. Accurate and cheap promoter & UTR identification assays in non model species seems far away.
@mpcontreras4 @KamounLab @AdamWu9527 @Tolga_Bzkrt @lderevnina @HiroakiAdachi3 @M__Selvaraj @JMadhuprakash @HsuanPai1 @amiralito_ @mai_garro @RijkZwaan Congratulations. Just amazing and very exciting. Q: can you comment on the diversity of the LRR domain across NLR pairs? It’s interesting that in this case the LRR mostly dispensable — the helper does most of the work to set up the resistisome arrays, is that a reasonable interp?
@amiralito_ Nice work! Question. Did the team look into accuracy of the helixer predictions? We’ve found even BRAKER3 has trouble over NLR regions due to high TE density.
@parmita It’s going to take a lot more people than Demis. It will require a consortium similar to the human genome project, but maybe another order of magnitude. Our datasets aren’t enough and the metadata isn’t there, but with earth biogenomes project there will be the backbone for it.
Interesting that it performs well on protein and chemical reasoning and then all models fail to integrate those datasets via phylogeny.
GPT-Rosalind, our Life Sciences model series, is optimized for scientific workflows, with stronger performance in protein and chemical reasoning, genomics analysis, biochemistry knowledge, and scientific tool use.
@yutang_mpb_eth Thank you! The plot shows all read level Q10, not the per base Q score. This was with basecall v5, after rerunning using v5.2 we recover more UL reads. But yes as reads get larger you can expect read error to increase, although i’m not sure by how much.
A Nanopore ultralong run we just did for Hop! Nearly 110Gb off a single flow cell with the true N50 probably >70Kb. Very excited for this one 🚀🧬 #ONT
@agus3260 @benagen3571 I believe they reduce the FRA ratio at the cost of sacrificing the flow cell for a very low yield.
@agus3260 All thanks to our team here. It’s mostly a dna extraction problem. There are so many variables it’s hard to pin it down on one thing. The most important part is minimizing transfers, and being extremely gentle. Dark treat your plant tissue too!
Finally using pixi to write up all code for a project. Multiple sub environments, with underlying tasks and scripts + singularity container calls within. Excited to just include the .toml + .lock with publication and be done with it. Should have done this months ago!
@BTIscience Testing weightless environments and measuring gravitropic responses! Pretty cool.
It’s a great tune. But I might be biased🧬
DNA 🧬 has been out a week and it’s been amazing to see how it’s landing. Big thanks to everyone who’s listened, shared or danced to it with me. Huge love to @genesiofc and Aya Anne for making this one with me. 🖤 Download / Stream → drumcode.ffm.to/dc343
Can we make it easier to submit gff files to genbank? It is so convoluted and time consuming compared to a genome upload. I’m still seeing papers say “check figshare” tempting me to do the same.
Pleased to share this free link to our new review of genome annotation in @NatureRevGenet, which just appeared today. Co-authored with Hyunjoo (Hayden) Ji and Mihaela Pertea @elapertea. We focus particularly on human annotation: rdcu.be/e4mI1
@agus3260 Ahh minisplice! It is a great example, thanks for the suggestion.! Have to emphasize GPUs for our supercomputer😆
Preparing a 20min talk for a broad audience interested in AI and GPUs. Three case studies: metagenome assembly binning (LORBIN), gene prediction model generation (Tiberius) and pangenome variant calling (DeepVariant). Yes, I will be speaking fast. 1 slide for installs though!
@jcamthrash Ohhh I needed this. Great timing, thank you!
@acarroll_ATG @EBPgenome @Googleorg Excited about this for the VGL! What would be really cool is to use trio assemblies to support a truth set model for implementing deepvariant calls across some of these specific endangered species of interest. Might be hard to get that parental data but still !
Excited about this tool! The upcoming trio feature is particularly important for these complex regions
TandemTwister: Scalable genotyping and advanced visualization of tandem repeats biorxiv.org/content/10.648… #biorxiv_genomic
@Psy_Fer_ I can’t speak to the P2i but, it seems good? The p2S took a lot more configuring, and prices of GPU have only increased. That said p2S seems potentially more durable long term…
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