Principal Investigator, Bioinformatics, NBACC https://xitter.cf/t.co/vIen8soRi2 PhDone @JohnsHopkins @JHUBME in the Salzberg Lab

Baltimore, MD
Joined December 2014
Check out our just-published AI-based (temporal convolutional network) system, PSAURON, for predicting eukaryotic proteins, from @markusjsommer. We used a similar method in BALROG, our bacterial gene finder. Note: the "P" is silent in PSAURON 🀣 academic.oup.com/nargab/arti…
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β€œOne Model to rule them all, One Model to find them, One Model to score them all, and in the Paper cite them.” πŸ§¬πŸ§™β€β™‚οΈThe eye of PSAURON seeks spurious proteins in your genome annotation! New paper with Aleksey Zimin and @StevenSalzberg1 biorxiv.org/content/10.1101/…
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Closed source code? 10 free predictions per day? That seems a bit too evil, even for a dark lord. Unleash the power of PSAURON via β€œpip install psauron” Code freely available at GitHub github.com/salzberg-lab/PSAU…
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Thank you to the @NatlAquarium Animal Care and Rescue Center for raising awareness of coral disease. This collaboration would not have happened without the tour I took in Oct. 2022 (shout-out to Duncan!)
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One short year (and one talented former undergrad intern) later we are a bit closer to understanding our delicate and essential coral ecosystem.
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Markus Sommer retweeted
How does alternative splicing regulate protein structure to enable cell-type-specific protein functions? With @momeara, we used AlphaFold2 + scRNA-seq to investigate this question in our latest preprint. biorxiv.org/content/10.1101/β€¦πŸ§΅
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watch out SpliceAI, there's a new kid on the block, Splam! More accurate at predicting splice sites and much faster too. Check out the code and the pre-print in the thread from @KuanHaoChao below.
πŸ“’πŸ“’Dear friends, our new software, Splam, a deep learning-based splice junction predictor, is now officially releasedπŸŽ‰If you do RNA-Seq data analysis or need a reliable tool to evaluate splice junctions/introns, Splam is the perfect fit for you πŸ”— github.com/Kuanhao-Chao/spla… (1/10)
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ORFanage is new system by @av_sparrow @ErdogduBeril and @elapertea that finds protein-coding regions in RNA-seq assemblies, guided by annotation. Just published today in @NatComputSci: rdcu.be/dibEl
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The final version of our paper on using protein structure to determine functionality is out in @eLife: doi.org/10.7554/eLife.82556. Some of the prettiest figures we've had in any recent paper, like the one here. Led by @markusjsommer, plus @elapertea @thesteinegger et al.
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Congrats! It was the most amazing talk on biodata2022! I hope it makes more people go for isoform specific transcriptomic analyses
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Markus Sommer retweeted
Markus gave an excellent talk (the last of the meeting) at #biodata22 on this work. It's very exciting, and I'm glad to see it published now. I look forward to reading the paper!
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Protein structure prediction helps understand gene function
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