Genomic Technologies Group // The Garvan Institute of Medical Research // Australia's leading long-read sequencing service // Enquiries: longread@garvan.org.au
Our cornetto work is now published at nature.com/articles/s41467-0ā¦
Cornetto can do near-T2T assembly using @nanopore adaptive sampling (readfish by @mattloose) & hifiasm by @ChengChhy
- with less šø
- reference agnostic, so works for non-humans
- not just blood, even saliva
Not long now until our Long-Read Research Symposium on November 13th. See below the amazing line-up of speakers and talks. It's not too late to register for this free event - click the link --> eventbrite.com.au/e/garvan-lā¦
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-lā¦
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 š¤
register below
eventbrite.com.au/e/garvan-lā¦
Come join us this November 13th for the Garvan Long-Read Research Symposium! You'll hear about the wonderful things you can do with @nanopore and @PacBio long reads from a great line-up of speakers. FREE to attend. Register below
eventbrite.com.au/e/garvan-lā¦
For many of those who were asking on BLOW5 vs POD5 for nanopore signal data, here is a finally detailed benchmark we did:
biorxiv.org/content/10.1101/ā¦
Summary: performance of BLOW5 is >= POD5 (from ~= to 100X, see below), with benefit of having ~3 dependencies instead of >50.
Check out the excellent line-up of speakers we have for the @GarvanInstitute Long Read Research Symposium day
It is FREE to come along - this November 7th. Reserve your spot eventbrite.com.au/e/garvan-lā¦
Not long now until the @GarvanInstitute Long Read Research Symposium on November 7th. We will have talented speakers covering the advantages of both @nanopore and @PacBio data
Only a few spots left - don't miss out! š
eventbrite.com.au/e/garvan-lā¦
Introducing ex-zd, a lossless lossy signal compression for @nanopore signal data. While lossless can only save about 1-3% over vbz, lossy can cut the file sizes by almost half with no noticeable impact on basecalling or methylation calling accuracy.
biorxiv.org/cgi/content/shorā¦
Our #slow5curl paper is out! academic.oup.com/gigascienceā¦
Big projects storing hundreds/thousands of @nanopore signal datasets on cloud storage like @awscloud#s3 will be able to save šø,ā²ļø and bandwidth while improving the accessibility of datasets to those with limited computing ..
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/ā¦
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!
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, š„³academic.oup.com/bioinformatā¦, with some great software updates for even more flexibility, github.com/DavidsonGroup/fle⦠1/3
Pleased to report the very first paper from my research group at WEHI is now up on bioRxiv. Flexiplex is a new tool for raw sequencing data that allowed you to identify and error correct barcodes, and can even be used as a general "grep-like" search tool.
squigualiser has become more powerful š. This signal pileup view of @nanopore r10 DNA signals will deepen your read analysis on IGV. github.com/hiruna72/squigualā¦
Our review article on sequencing & characterising short tandem repeats (STRs) is out in @NatureRevGenet! We delve into short read & long read STR genotyping tools and applications in rare disease & population genetics𧬠go.nature.com/48pWZix@GenTechGp@hdashnow@dgmacarthur
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 šŖš§¬šŖ
nature.com/articles/s41586-0ā¦