Genomic Technologies Group // The Garvan Institute of Medical Research // Australia's leading long-read sequencing service // Enquiries: [email protected]
Joined August 2020
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Genomic Technologies Group retweeted
What a throwback!! Our lab has been doing @nanopore since 2017 🤓🤓
Genomic Technologies Group retweeted
Cornetto v0.2.0 is now released for using programmable selective nanopore sequencing for genome assembly.
GitHub: github.com/hasindu2008/corne…
Paper: nature.com/articles/s41467-0…
Datasets: hasindu2008.github.io/cornet…
... and a banner made by Ira @GenTechGp referring to ‘no boring bits’.
Our cornetto work is now published at nature.com/articles/s41467-0…
Cornetto can do near-T2T assembly using @nanopore adaptive sampling (readfish by @mattloose) & hifiasm by @ChengChhy
- with less 💸
- reference agnostic, so works for non-humans
- not just blood, even saliva
Genomic Technologies Group retweeted
Join us for a day (Nov 13) of fascinating talks and discussions on the latest in long-read sequencing tech and related research in genomics, transcriptomics, and epigenetics. A great opportunity to network and hear from leading experts from around Aus.
eventbrite.com.au/e/garvan-l…
Genomic Technologies Group retweeted
Tha Garvan long read research symposium is BACK! Sponsored by @nanopore and @PacBio this event is FREE to join. Learn all about the fun you can have with long reads 🤓
register below
eventbrite.com.au/e/garvan-l…
Genomic Technologies Group retweeted
Our #slow5curl paper is out! academic.oup.com/gigascience…
Big projects storing hundreds/thousands of @nanopore signal datasets on cloud storage like @awscloud #s3 will be able to save 💸,⏲️ and bandwidth while improving the accessibility of datasets to those with limited computing ..
Genomic Technologies Group retweeted
Excited to share our latest work on somatic mutations in celiac disease! We discover expanded T cell clones with somatic driver mutations in individuals that don't respond to a gluten-free diet. With @FabioItaus, Chris Goodow and many others! Check it out: medrxiv.org/content/10.1101/…
Genomic Technologies Group retweeted
Super excited to share our work on #celiac disease. We discovered T cells carrying somatic mutations which may explain chronic autoimmune disease
medrxiv.org/content/10.1101/… . Great team work led by @Manu___Singh. Thank you to all authors!
Genomic Technologies Group retweeted
Want an easy to use and fast error/SNP tolerate grep-like tool? Have complex barcodes or indices to demultiplex from raw `omics data? Flexiplex is now published, 🥳academic.oup.com/bioinformat…, with some great software updates for even more flexibility, github.com/DavidsonGroup/fle… 1/3
Genomic Technologies Group retweeted
Final version of our lamprey epigenome
remodeling paper is now out in @NatureComms nature.com/articles/s41467-0…
Genomic Technologies Group retweeted
Squigualiser preprint with a bunch of usecases is now available 🔥. Your feedback is appreciated.
biorxiv.org/content/10.1101/…
squigualiser has become more powerful 🚀. This signal pileup view of @nanopore r10 DNA signals will deepen your read analysis on IGV. github.com/hiruna72/squigual…
Genomic Technologies Group retweeted
Bioinformatics behind: this is an example big project where we used S/BLOW5 ecosystem to efficiently, economically (saving compute, time, energy & money), consistently process & reliably archive 141 nanopore signal datasets (~100TB) on Australia's NCI-Gadi @NCInews supercomputer.
Happy & humbled to see our work on structural variation in Indigenous Australians out in @Nature. Deep gratitude to the Aboriginal communities whose leadership & engagement made it possible, & to our @NCIG2013 collabs @hardiprpatel @azure_peacock 🪃🧬🪃
nature.com/articles/s41586-0…
Genomic Technologies Group retweeted
Great summary! @BlackOchreOmics @BiancaNogrady “We need to build relationships, we need to prove we are careful & considered stewards … & won’t make moves without communities being across the decisions … & have their voice heard in that process,” nature.com/articles/d41586-0… – at Sydney, New South Wales
Genomic Technologies Group retweeted
Congratulations to Dr Ira Deveson for being one of the four researchers to receive funding from the Medical Research Future Fund Genomics Health Futures Mission.
Learn more: ow.ly/BfSb50QbOfh
Genomic Technologies Group retweeted
Buttery-eel 0.4.0 released, so you can directly basecall blow5 files, either through Guppy server, or Dorado server.
We have just released v0.4.0 of buttery-eel, a slow5 guppy/dorado basecaller.
It can now do barcode demultiplexing and works with the dorado server/client while maintaining compatibility with guppy.
github.com/Psy-Fer/buttery-e…
Genomic Technologies Group retweeted
We have just released v0.4.0 of buttery-eel, a slow5 guppy/dorado basecaller.
It can now do barcode demultiplexing and works with the dorado server/client while maintaining compatibility with guppy.
github.com/Psy-Fer/buttery-e…
Genomic Technologies Group retweeted
We are happy to announce that our program of work on the development & deployment of a novel anti-fibrotic in pancreatic cancer has just been published (OpenAccess) in @NatureCancer | → nature.com/articles/s43018-0… ← | @TCox_Lab @GarvanInstitute #extracellularmatrix #ECM #cancer
Genomic Technologies Group retweeted
New research alert: Garvan research genetic counsellor @LucasAMitchell published a scoping review outlining opportunities to increase the visibility of LGBTQIA+ people in healthcare: Read more here: doi.org/10.1016/j.pec.2023.1…
Genomic Technologies Group retweeted
An incredible lineup of research presentations.
Come join us at the @GarvanInstitute this October for Cancer Nanopore Day! See below the line-up of excellent speakers and talks. With help from @bach_warren @nanopore . Register here: nanoporetech.com/event/Cance…
Genomic Technologies Group retweeted
Many thanks to @yukkeiwan for model training, evaluation, and implementation together with @chrishendra_93, and to @Hasindu2008 and @hiruna72 for making eventalign work with RNA004 github.com/hasindu2008/f5c/r…
Genomic Technologies Group retweeted
We collaborated with @hiruna72 and @hasindu2008, who generated an RNA004 pore model for signal segmentation using f5c!! We trained the RNA004 m6anet model with the segmentation output!
nature.com/articles/s41592-0…
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