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Rasmus Kirkegaard Profile
Rasmus Kirkegaard

@kirk3gaard

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Following
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Statuses
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Staff scientist having fun with DNA seq and bioinformatics at #AlbertsenLAB. πŸ¦‹@kirk3gaard.bsky.social. COI : I am a @nanopore shareholder.

Joined August 2011
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@kirk3gaard
Rasmus Kirkegaard
6 months
Want @nanopore data for benchmarking microbe related stuff? Check our collection of data for pure cultures, @ZymoResearch mocks and complex metagenomes ( https://t.co/EDtk6kQtKk). Basecalled reads with methylation is in @ENASequence. Eventually the pod5s might go there as well.
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github.com
Overview of our data for microbial genomic benchmarking - Kirk3gaard/MicroBench
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@AlbertVilella
Albert Vilella
22 hours
Roche SBX very high throughout NGS instrument is about to disrupt the short reads sequencing space. But is the data quality good enough? Read all about it at
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@kirk3gaard
Rasmus Kirkegaard
5 days
Sorry but has nothing to do with @nanopore vs @PacBio but purely comes down to poor library preps... TLDR short reads are worse than long reads for assembly (regardless of the tech) πŸ˜‰
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@DPortik
Daniel Portik
5 days
New #metagenome assembly comparison of PacBio, ONT, and Illumina in gut #microbiomes. - "HiFi generated more cMAGs than ONT at every depth with either assembly method" - "HiFi cMAGs had significantly higher completeness and lower contamination than ONT" https://t.co/1BCNZd5qfC
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@kirk3gaard
Rasmus Kirkegaard
7 days
"myloasm demonstrates that ONT and HiFi reads are becoming more comparable, with myloasm even assembling more circular and complete genomes with ONT than HiFi"
@jim_elevator
Jim Shaw
8 days
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 and supervised by Heng Li @lh3lh3
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@kirk3gaard
Rasmus Kirkegaard
9 days
How many TBp/day of @nanopore basecalling can it do?
@NVIDIAEU
NVIDIA Europe
10 days
Europe’s first exascale supercomputer - JUPITER - is now live. Powered by NVIDIA Grace Hopper, @fzj_jsc's #JUPITER is the world’s most energy-efficient supercomputer, fusing AI and HPC to drive breakthroughs in climate science, neuroscience, quantum simulation, and more. πŸ‘‰
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@martinhoelzer
Martin HΓΆlzer
10 days
πŸš€ New release of our ONT methylation Nextflow pipeline! Developed by my PhD student Valentina at RKI’s Genome Competence Center 🧬 πŸ”§ Updates: - Updated Modkit envs - Auto-thresholding for confidence - Improved README Check it out πŸ‘‡ πŸ”—
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github.com
Contribute to rki-mf1/ont-methylation development by creating an account on GitHub.
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@AlbertVilella
Albert Vilella
11 days
Illumina publishes a new "HP homopolymer Advanced Recipe" for the NextSeq 2000 instrument line.
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@kirk3gaard
Rasmus Kirkegaard
18 days
Doing some tricky samples with @nanopore and still seeing some of them light up 🟩🟩🟩🟩🟩
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@Psy_Fer_
James Ferguson
19 days
@jjminich @kirk3gaard @nanopore I just tested H200, and got 2.88^7 samples per second. That's just under 200gb/day which is only slightly faster than the H100 tested at 197gb/day.. So yea, pretty similar.
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@Psy_Fer_
James Ferguson
20 days
@kirk3gaard @nanopore @PeterMacCC This was a larger test set, because it does your one too fast to benchmark the cooling πŸ˜… 4.9^7 samples/s So what's that...339.75GB/day? all for less than an H100 machine 🀣
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@Psy_Fer_
James Ferguson
20 days
I built and installed this absolute beast of a machine for @nanopore basecalling @PeterMacCC Threadripper 4x5090, liquid cooled 128gb DDR5 ram ~40Tb of nvme and SSD storage TWO power supplies, a 1200W and a 2500W All in a Corsair 9000D case ~5^7 samples/second with dorado.
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@ISME_microbes
ISME - International Society for Microbial Ecology
27 days
To celebrate that ISME20 is exactly one year from now, the ISME20 Local Organising Committee recreates the magic of their first video by taking you on a new adventure in the second installment. Watch the brand new video: https://t.co/yQIppeAF8f #isme20
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@Aviator_Pete
Pete πŸ‡¦πŸ‡ΊπŸ¦˜
20 days
News corp Just dropped part of their FSD Australia video. https://t.co/4WhZESJClQ
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@NiranjanTW
Niranjan Nagarajan
24 days
Our work on direct @nanopore sequencing of non-canonical bases in now out in @NatureComms! Read all about it here: https://t.co/fFl4Yncf83 Great collab with @ChewWeiLeong and Hirao labs
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nature.com
Nature Communications - Perez, Kimoto, Rajakumar and colleagues present a fast and accurate DNA sequencing method that reads canonical and non-canonical bases using AI and nanopore technology. The...
@NiranjanTW
Niranjan Nagarajan
10 months
Tech Alert! πŸš€πŸ§¬ We can now determine the sequence of DNA with non-canonical bases in a direct and high-throughput manner with Nanopore sequencing. Check out our preprint for details:
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@HeliyonJournal
Heliyon
25 days
High throughput method for monitoring SARS-CoV-2 variants in wastewater by Nanopore sequencing https://t.co/ZfqTl17I2F
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@jim_elevator
Jim Shaw
1 month
skani v0.3.0 is released. https://t.co/dEkIzxIbDr * 30-40% potential reduction in memory * Breaking changes to indexing and searching databases Calculate ANI for contigs, genomes. Search vs > 140k genomes: pre-indexed GTDB-R226 available for download.
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github.com
Fast, robust ANI and aligned fraction for (metagenomic) genomes and contigs. - bluenote-1577/skani
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@OmicsOmicsBlog
Keith Robison
1 month
Interlaboratory evaluation of high molecular weight DNA extraction methods for long-read sequencing and structural variant analysis | BMC Genomics | Full Text
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bmcgenomics.biomedcentral.com
Background Long-read sequencing technologies enable resolution of structural variants (SV) and long-range genome assembly, but require high molecular weight (HMW) DNA of both high quantity and...
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@kirk3gaard
Rasmus Kirkegaard
1 month
Hopper is back πŸš€ Dorado update from @nanopore adds some speed. Anyone happen to have access to the Blackwell server grade GPUs or are they all busy making silly ai images? https://t.co/5hcUn0uSeK
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@josefprusa
Josef Prusa
1 month
Open hardware desktop 3D printing is dead - you just don't know it yet ➑️
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josefprusa.com
How Chinas strategic focus on 3D printing and patent incentives since 2020 created a "minefield".
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@billytcl
Billy Lau
1 month
@CatharineAquino Our protocol has been: guess the concentration from qubit/E-gel. Load iseq (with extra phix if needed). Use results to back calculate actual concentration (and rebalance if needed), then send out for higher depth sequencing.
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