GenScale is a bioinformatics research team. Its main goal is to develop scalable methods, tools, and software for processing genomic data.

Joined January 2019
GenScale team leaves X/twitter. This is our last post here. Let's meet back on bluesky: bsky.app/profile/genscaletea…
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Possibly one of the most significant breakthroughs in sequencing data exploration today! Proud to have been part of this journey with @GenScale 🧬✨
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📰🧬Indexer les données génomiques : un défi de taille à relever. Découvrez les travaux de recherche sur les données générées par le projet Tara Oceans dans cet article de @TeoLemane, Magali Lescot @CNRS & @p_peterlongo @GenscaleTeam ⬇️ interstices.info/indexer-les… cc @TaraOceans_Sci
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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: @krsahlin & Zsuzsanna Lipták 📝 Register by Nov 14 🔗 More info: seqbim.cnrs.fr/seqbim-2024
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GenScale Team retweeted
Have you ever wondered how the NCBI Bacterial Assembly DB has grown over time? And what have been the contributions of individual years to its composition? Here's a plot showing exactly this for last approx 3 years. doi.org/10.6084/m9.figshare.…
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[Prix🏆] Félicitations🎉 à Roland Faure (doctorant) & Tam Khac Minh Truong (ancien stagiaire) de l'équipe @GenscaleTeam qui ont reçu le prix du meilleur article étudiant co-écrit avec Rumen Andonov (Pr. @RennesUniv) présenté à la conférence BIOINFORMATICS 2024 à Rome🇮🇹 en février
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A nice collaboration with @institutpasteur and @Inria_Rennes teams
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Congrats to Roland Faure, for his great talk about HairSplitter at #ISMBECCB2023. Go talk to Roland in front of his poster to learn more about how he manages to separate strain genomes in metagenomic long read datasets (poster location 392)
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GenScale Team retweeted
#vendrediLecture à lire dans @lemondefr Un moteur de recherche de la génomique pour traiter la quantité de données collectées @GenscaleTeam
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Very happy to present metaMDBG, a new assembler for long accurate metagenomics reads (e.g. PacBio HiFi)!
Efficient High-Quality Metagenome Assembly from Long Accurate Reads using Minimizer-space de Bruijn Graphs biorxiv.org/cgi/content/shor… #biorxiv_bioinfo
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It's also very fast, genotyping >10,000 SVs with a 30X PacBio whole human dataset in less than 30 minutes! Try it on github or bioconda github.com/SandraLouise/SVJe… 3/3
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SVJedi-graph is based on the construction of a variation graph representing the entire reference genome and all its alternative SV alleles. It allows better genotyping performance especially for close or overlapping SVs. 2/3
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The Genscale Team is present at #ISMBECCB2023 with 2 talks: on strain genome resolution in metagenomics (Roland Faure) and on Structural Variant genotyping (Sandra Romain). Come meet us ! @ClaireLemaitre @KarelBrinda
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Very happy to announce the publication of our new SV genotyping tool for long read data: SVJedi-graph. Congrats to Sandra Romain for her first PhD student paper ! Come meet us and see Sandra present the method and its results at #ISMBECCB2023 #HiTSeq doi.org/10.1093/bioinformati… 1/3
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