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Timothe Rouze

@tmthrz.bsky.social
51 followers 142 following 1 posts

PhD student in computational biology in Lille.

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Igor Martayan @imartayan.bsky.social · 15/06/2026
Just submitted my PhD thesis on algorithms for fast, large-scale k-mer-based sequence analysis. It's now available to read at phd.martayan.org Take a look and feel free to share! #Bioinformatics #PhDone
phd.martayan.org
Algorithm design and implementation for the scale of sequencing data
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Mel Andrews @bayesianboy.bsky.social · 17/06/2026
When utilized in literature review, LLMs consistently 1. fail to mention female authors in female-led literatures, 2. insist that men are more influential or more heavily cited when this is contradicted by objective citation counts, and 3. attribute women’s work to hallucinated male scholars.
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Coleen Murphy @ctmurphy1.bsky.social · 17/06/2026
one anecdote: I was searching for a link to one of my old papers on Google, and the automated Gemini summary attributed all of my lab's work to my husband
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Pierre Peterlongo @pierrepeterlongo.bsky.social · 03/06/2026
🌎 🧬 🖥️ logan-search.org the tool to query all SRA sequences (Dec 2023 snapshot) — just got major updates. Here's what's new. 🧵 1/12
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bioRxiv Bioinfo @biorxiv-bioinfo.bsky.social · 28/05/2026
Fast Set Operations for Compact k-mer Sets www.biorxiv.org/content/10.64898/20…
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Antoine Limasset @npmalfoy.bsky.social · 27/03/2026
Preprint alert! TLDR: Super Bloom is a Bloom-filter variant for streaming k-mer queries. It uses minimizers to group adjacent k-mers into super-k-mers and map them to the same memory block. Result: much better locality, faster queries, and with the findere trick, dramatically fewer false positives.
doi.org
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bioRxiv Bioinfo @biorxiv-bioinfo.bsky.social · 19/03/2026
Super Bloom: Fast and precise filter for streaming k-mer queries www.biorxiv.org/content/10.64898/20…
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Titus Brown @titus.idyll.org · 19/03/2026
looks beautiful! if I still worked on k-mers I'd ... oh, wait...
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bioRxiv Bioinfo @biorxiv-bioinfo.bsky.social · 11/12/2025
Inverted colored de Bruijn Graph for practical kmer sets storage www.biorxiv.org/content/10.64898/20…
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Antoine Limasset @npmalfoy.bsky.social · 15/12/2025
Preprint Alert! With @tmthrz.bsky.social and @rayanchikhi.bsky.social we aim to tackle practical unitigs compression! A thread:
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bioRxiv Bioinfo @biorxiv-bioinfo.bsky.social · 17/06/2025
REINDEER2: practical abundance index at scale www.biorxiv.org/content/10.1101/202…
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Igor Martayan @imartayan.bsky.social · 27/04/2025
The sequence analysis session of #RECOMB2025 is off to a great start with @jimshaw.bsky.social presenting devider, a new algorithm for haplotyping small sequences from long-read sequencing. www.biorxiv.org/content/10.1...
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Camille Marchet ⚡ @camillemrcht.bsky.social · 25/04/2025
@bonsaiseqbioinfo.bsky.social friends in Seoul @rayanchikhi.bsky.social @imartayan.bsky.social @tmthrz.bsky.social 🫰🏻🫰🏻🫰🏻
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Igor Martayan @imartayan.bsky.social · 25/04/2025
@camillemrcht.bsky.social is back on stage to present Vizitig, an interactive visualization tool for sequencing datasets developped by @bdegardins.bsky.social
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Camille Marchet ⚡ @camillemrcht.bsky.social · 25/04/2025
bsky.app/profile/imar...
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Camille Marchet ⚡ @camillemrcht.bsky.social · 25/04/2025
Now our @tmthrz.bsky.social presenting his approach for compressing collections of unitigs - Rayan Chikhi 🤝🏻 @npmalfoy.bsky.social
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Camille Marchet ⚡ @camillemrcht.bsky.social · 25/04/2025
Thrilled to have @aliciao.bsky.social as a keynote in @recombseq.bsky.social today!! #RECOMBseq
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Bonsai Sequence Bioinformatics @bonsaiseqbioinfo.bsky.social · 10/02/2025
👋🏻💻🧬
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Bonsai Sequence Bioinformatics @bonsaiseqbioinfo.bsky.social · 10/02/2025
link.springer.com/article/10.1... our article on large scale comparison of datasets in a Minhash-like setting, but for heterogenous document sizes AND keeping lexicographic information, is out in AMB. By @tmthrz.bsky.social @imartayan.bsky.social @camillemrcht.bsky.social @npmalfoy.bsky.social
link.springer.com
Fractional hitting sets for efficient multiset sketching - Algorithms for Molecular Biology
The exponential increase in publicly available sequencing data and genomic resources necessitates the development of highly efficient methods for data processing and analysis. Locality-sensitive hashi...
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