msikic.bsky.social
AI in genomics
14 posts
122 followers
90 following
Regular Contributor
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Ideal Candidates:
- Demonstrate strong expertise in AI/machine learning
- Passion for interdisciplinary research
- Thrive in solving complex biological challenges
- Possess resilience and scientific curiosity
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Work with @msikic.bsky.social, @rvicedomini.bsky.social, Kresimir Krizanovic
MADRe is open-source, modular, and ready to use.
Check it out:
🔗 github.com/lbcb-sci/MADRe
9/9
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Apply now and be part of a team that values innovation, collaboration, and excellence!
Check out www.linkedin.com/jobs/view/42... for more details.
Find out more about the exciting work we do by our team – @jonathangoeke.bsky.social, @msikic.bsky.social
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Our characters are not easy to handle 😅
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Thanks. Sorry I didn't get about size. 1 percent of reads are longer than 100 k or 99%. How much HMW DNA is required? I see, there is a need to develop algorithms from the scratch. Yes that might be interesting. Actually, for de novo assembly only overlap needs to be re-done
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Interesting. Is there a distribution or read lengths, and is it possible to use them beyond mapping strategies, i.e. de novo assembly?
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Looking ahead, the prospects are exciting. We anticipate that soon we will be able to resolve complete human genomes, from telomere to telomere, on a personal scale. Additionally, accurate cancer genome assemblies are on the horizon. Stay tuned :) 3/3
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The paper explores more details about the coverages required.
This project extends the work we began in 2016 - when we were among the first to demonstrate that nanopore can produce decent assembly academic.oup.com/bioinformati... 2/3
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Selection of the best-predicted 3D RNA structures using Rosetta and ARES. The correlation between trRosettaRNA (trRNA) and Rosetta is not surprising, but look at Alfafold3 and ARES !! #ai #RNA #structure #prediction