Riccardo Vicedomini
@r_vicedomini
CNRS researcher at @irisa_lab @GenscaleTeam
ID: 1364933013142970373
http://rvicedomini.github.io 25-02-2021 13:39:45
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        After a long wait, the latest in large-scale indexing from Fatemeh Almodaresi, @prashn_25, Jamshed Khan, @CSIdiotSavant, Rob Johnson, Mike Ferdman & I is published:academic.oup.com/bioinformatics… (preprint biorxiv.org/content/10.110…). This work shows how to make Mantis incrementally updatable. 1/
        
        
        hifiasm-meta offers a metagenome assembler that makes use of highly accurate long-read data. Xiaowen Feng Daniel Portik Heng Li nature.com/articles/s4159…
                        
                    
                    
                    
                
        
        
        
        🇪🇺 4️⃣ scientifiques travaillant à l’Institut Pasteur reçoivent un European Research Council (ERC) Consolidator Grant ↘️ pasteur.fr/fr/journal-rec…
                        
                    
                    
                    
                
        
        
        
        Camila Duitama (@camiladuitama1) successfully defended her PhD, on pioneering work for ancient metagenome DNA content analysis using large k-mer matrices. Co-advised with Hugues Richard and Riccardo Vicedomini. Congrats! Proud of your achievements :)
                        
                    
                    
                    
                
        This year, GenScale is organizing the #SeqBIM 2024 workshop in Rennes, Nov 28-29! Don't miss the chance to present your work on sequences. 🗓️ Submission deadline: Oct 17 🔑 Keynotes: Kristoffer Sahlin & Zsuzsanna Lipták 📝 Register by Nov 14 🔗 More info: seqbim.cnrs.fr/seqbim-2024
        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. Mile Sikic, Riccardo Vicedomini, Krešimir Križanović 🔗biorxiv.org/content/10.110… 1/9