Roland Faure
@rfaure.bsky.social
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📥 128
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Sequence bioinfomatician, algorithms, methods. Postdoc in Institut Pasteur in Rayan Chikhi's lab
reposted by
Roland Faure
Société Française de BioInformatique
11 days ago
📌 Les
#soumissions
pour
@jobim2026.bsky.social
sont ouvertes jusqu'au 15/03/26. 📝 Soumission de travaux originaux, articles longs (+ PCI), activités de plateformes et de service, posters et démonstrations 📍 Plus d’infos sur :
jobim2026.sfbi.fr
#JOBIM2026
#bioinfo
#Strasbourg
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Roland Faure
Torsten Seemann
24 days ago
🗜️⚡ If you use gzip/gunzip a lot in your pipelines, switch to the faster"libdeflate" versions instead! They use modern CPU capabilities to achieve a 2-3x speedup. libdeflate is in conda, and "libdeflate-gzip" and "libdeflate-gunzip" are drop-in replacements.
#unix
github.com/ebiggers/lib...
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GitHub - ebiggers/libdeflate: Heavily optimized library for DEFLATE/zlib/gzip compression and decompression
Heavily optimized library for DEFLATE/zlib/gzip compression and decompression - ebiggers/libdeflate
https://github.com/ebiggers/libdeflate
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Roland Faure
Zamin Iqbal
about 2 months ago
"..based on a common wavefront design that can be adapted to support a variety of dynamic programming algorithms: local, global, and semi-global alignment of genomic and protein sequences with a variety of commonly used scoring schemes" from
@martinsteinegger.bsky.social
andco
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reposted by
Roland Faure
bioRxiv Bioinfo
2 months ago
Inverted colored de Bruijn Graph for practical kmer sets storage
https://www.biorxiv.org/content/10.64898/2025.12.08.692073v1
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Roland Faure
Giulio Ermanno Pibiri
2 months ago
The 12th edition of the 2-days workshop “Data Structures in Bioinformatics” (DSB) will take place in Venice (Italy) on February 18-19th, 2026:
dsb-meeting.github.io/DSB2026/
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DSB 2026 Venice - February 18-19
Workshop Data Structures in Bioinformatics
https://dsb-meeting.github.io/DSB2026/
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Roland Faure
Karel Břinda
2 months ago
1/9 Just out: k-mer indexes are the backbone of fast search in genomic data, but many degrade under small k, subsampling, or high diversity. With Ondřej Sladký and
@pavelvesely.bsky.social
we asked: can we build one that works efficiently for any k-mer set?
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Preprint out! Check out our new long-read metagenomic SNP-caller, SNooPy 😀. Work with Chris Quince. Thread 🧵 👉
www.biorxiv.org/content/10.6...
2 months ago
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Roland Faure
Antoine Limasset
2 months ago
Preprint Alert! We present new strategies to accelerate large-scale document comparison using MinHash-like sketches. A thread:
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Our preprint on our new metagenomic HiFi assembler Alice is out 🥳 Based on a *new sketching method* (🧵1/6) 👉 Preprint
www.biorxiv.org/content/10.1...
👉 Github
github.com/rolandfaure/...
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Alice: fast and haplotype-aware assembly of high-fidelity reads based on MSR sketching
We introduce Mapping-friendly Sequence Reduction (MSR) sketches, a sketching method for high-fidelity (HiFi) long reads, and Alice, an assembler that operates directly on these sketches. MSR produces ...
https://www.biorxiv.org/content/10.1101/2025.09.29.679204v1
4 months ago
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Roland Faure
Rayan Chikhi
5 months ago
🌎👩🔬 For 15+ years biology has accumulated petabytes (million gigabytes) of🧬DNA sequencing data🧬 from the far reaches of our planet.🦠🍄🌵 Logan now democratizes efficient access to the world’s most comprehensive genetics dataset. Free and open.
doi.org/10.1101/2024...
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Roland Faure
Jim Shaw
5 months ago
Preprint out for myloasm, our new nanopore / HiFi metagenome assembler! Nanopore's getting accurate, but 1. Can this lead to better metagenome assemblies? 2. How, algorithmically, to leverage them? with co-author Max Marin
@mgmarin.bsky.social
, supervised by Heng Li
@lh3lh3.bsky.social
1 / N
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Roland Faure
Josipa Lipovac
9 months ago
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. 🔗https://www.biorxiv.org/content/10.1101/2025.05.12.653324v1 1/9
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Roland Faure
Camille Marchet ⚡
10 months ago
Starting
#RECOMBseq
with
@rayanchikhi.bsky.social
's keynote. Here stressing our responsibility as scientists to enable access to a common good: genomic data
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Roland Faure
Michael Baym
10 months ago
Side note: you could, speaking purely theoretically, also fit every microbe onto an SD card, which is within the weight limit for a carrier pigeon. For some distances, it would be faster than the internet for transmitting sequence libraries 7/
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Roland Faure
Zamin Iqbal
10 months ago
So glad this is finally out. The method has been instrumental in allowing us to compress the AllTheBacteria data - ~2 million bacterial genomes shrink from 3Terabytes (gzipped) to 100Gb using phylogenetic compression. Great work by
@brinda.eu
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Roland Faure
Ryan Wick
11 months ago
Do you (like me) create a bunch of conda environments, then later forget what they're for, when they were last updated, or which tools are in them? If so, you might this little project:
github.com/rrwick/conda...
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GitHub - rrwick/condaenvlist: a simple tool for listing conda environments with descriptions
a simple tool for listing conda environments with descriptions - rrwick/condaenvlist
https://github.com/rrwick/condaenvlist
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So glad to have participated in
#DSB2025
, what a great workshop! For some mysterious reason it was the first time I attended after 3 years of sequence research. Thanks to all participants & organizers 😃
11 months ago
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Roland Faure
Igor Martayan
about 1 year ago
Ragnar's made some incredible optimizations on the computation of minimizers, can't wait to see how these improvements will benefit bioinfo tools!
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Roland Faure
Pierre Peterlongo
about 1 year ago
Amazing ideas here
www.biorxiv.org/content/bior..
. from
@yoann.bsky.social
and collaborators. Reorganize minimizers to allow kmers dichotomic search. That's brilliant.
#bioinformatics
🧬🖥️
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So glad to have successfully defended my Ph.D. last week 😀 Work on producing haplotype-resolved metagenomic assemblies using noisy long reads (HairSplitter) and high-fidelity long reads (Alice assembler, unpublished yet). Thanks to my advisors Dominique Lavenier and Jean-François Flot ❤️
about 1 year ago
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