Mile Sikic
@msikic
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Group leader @astar_gis, Prof @SveucilisteZG, partner @OraclumCapital. AI in Genomics
Singapore
Joined December 2008
Our RiNALMo RNA language model has been published in Nat Comm Great work by @RJPenic and @TinVlasic, with support and patience in teaching us RNA biology from Roland G Huber and @ywan_wan . RiNALMo is already an SOTA as a benchmark for RNA LLMs.
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RT @jsantoyo: GW: ultra-fast chromosome-scale visualization of genomics data. #GenomeVisualization #Bioinformatics #Genomics @naturemethods….
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RT @RayanChikhi: Slides from my talk (with Kamil Jaron) on an history of k-mers in bioinformatics:
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RT @pashadag: 1/4 Hash functions in genomic sequence analysis ( : a new survey written together with @shaomingfu, @….
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RT @NaturePortfolio: The further a scientist moves away from the topic of their previous work, the fewer citations their new work will rece….
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RT @KexinHuang5: 📢 Introducing Biomni - the first general-purpose biomedical AI agent. Biomni is built on the first unified environment fo….
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RT @shyam_lab: 25 years? No way. The Genome Institute of Singapore is all grown up now! How time flies. Join us 11-12 September to celebrat….
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RT @astar_gis: 🎓PhD Opportunity: AI x Genomics at A*STAR Genome Institute of Singapore (A*STAR GIS) 🧬🤖. Are you passionate about pushing th….
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RT @astar_gis: 🎉GIS turns 25! Join us in celebrating 25 years of innovation at #GIS25: Genome Innovation and Precision Medicine Conference,….
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RT @shyam_lab: Folks, a historic first @humancellatlas General Meeting in Singapore - the place where single cells meet their match! Late b….
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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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Seeking potential PhD students.- Developing novel RNA therapeutics using AI-driven approaches.- Decoding cancer genomics using LLMs and GNNs.Deadline 1/6/2025. Contact me directly!.
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The assembly-first, then mapping approach works surprisingly fast for microbial classification, especially with large databases. It's accurate, too! Great work from @JosipaLipovac!!.
I am happy to share our new preprint introducing MADRe - a pipeline for Metagenomic Assembly-Driven Database Reduction, enabling accurate and computationally efficient strain-level metagenomic classification. @msikic, @r_vicedomini, @KrizanovicK .🔗1/9.
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RT @JosipaLipovac: I am happy to share our new preprint introducing MADRe - a pipeline for Metagenomic Assembly-Driven Database Reduction,….
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RT @FranSupek: 🧵Ahmed’s @GenomeDataLab paper on evolution of chemotherapy resistance is out in @NatureComms!. We developed DiffInvex - a me….
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