Timothe Rouze
@tmthrz.bsky.social
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📥 126
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PhD student in computational biology in Lille.
reposted by
Timothe Rouze
bioRxiv Bioinfo
4 months ago
REINDEER2: practical abundance index at scale
https://www.biorxiv.org/content/10.1101/2025.06.16.659990v1
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reposted by
Timothe Rouze
Igor Martayan
6 months ago
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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reposted by
Timothe Rouze
Camille Marchet ⚡
6 months ago
@bonsaiseqbioinfo.bsky.social
friends in Seoul
@rayanchikhi.bsky.social
@imartayan.bsky.social
@tmthrz.bsky.social
🫰🏻🫰🏻🫰🏻
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reposted by
Timothe Rouze
Igor Martayan
6 months ago
@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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reposted by
Timothe Rouze
Camille Marchet ⚡
6 months ago
bsky.app/profile/imar...
add a skeleton here at some point
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reposted by
Timothe Rouze
Camille Marchet ⚡
6 months ago
Now our
@tmthrz.bsky.social
presenting his approach for compressing collections of unitigs - Rayan Chikhi 🤝🏻
@npmalfoy.bsky.social
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reposted by
Timothe Rouze
Camille Marchet ⚡
6 months ago
Thrilled to have
@aliciao.bsky.social
as a keynote in
@recombseq.bsky.social
today!!
#RECOMBseq
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reposted by
Timothe Rouze
Bonsai Sequence Bioinformatics
8 months ago
👋🏻💻🧬
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reposted by
Timothe Rouze
Bonsai Sequence Bioinformatics
8 months ago
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
loading . . .
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...
https://link.springer.com/article/10.1186/s13015-024-00268-0
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