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jonathangoeke.bsky.social
Group Leader, Genome Institute of Singapore, A*STAR, Working on computational methods for long read RNA-Seq https://github.com/goekelab
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🎉GIS turns 25! Join us in celebrating 25 years of innovation at #GIS25: Genome Innovation and Precision Medicine Conference, happening 11–12 September at Matrix, Biopolis, Singapore! 📅 Save the date and register now! Limited seats left! 👉 a-star.edu.sg/gis/news-eve... #Genomics #PrecisionMedicine

I am not sure how to do Bluesky yet, but I want to tell the world about our neighborhood NMF method. First of many collaborations with the Pelka Lab!!

One of the gems from the last @genomeresearch.bsky.social #long-reads special issue, Part II. Accurate fusion transcript identification from long- and short-read isoform sequencing at bulk or single-cell resol… pubmed.ncbi.nlm.nih.gov/40086881/

New preprint from Ajay Nadig @nadigajay.bsky.social in Luke O'Connor's lab, with "a suite of statistical tools for formally modeling distributions of DE effects from RNA-seq experiments, including Perturb-seq" www.biorxiv.org/content/10.1...

Scientists at A*STAR GIS have unveiled SG-NEx, one of the world's largest long-read RNA sequencing datasets! 🌍🔬 With 750M long RNA reads, it enhances detection of complex RNA features, aiding disease research and precision medicine. Available via AWS Open Data Registry. #Genomics #PrecisionMedicine

Join us at Genome Institute of Singapore! Great environment, stable funding!!

Excellent opportunity for PI positions at the Genome Institute of Singapore! Outstanding facilities, latest genomic technologies, strong and stable science funding. Junior candidates and established scientists are welcome to apply

Congratulations to @jonathangoeke.bsky.social, and our @astar-gis.bsky.social team on your SG-NEx project, providing a comprehensive resource that enables the development and benchmarking of computational methods for profiling complex transcriptional events at isoform-level resolution.

The first Singapore Long-Reads Symposium was a success! A massive thanks to the speakers: Keynote Heng Li, Ken Sung @jonathangoeke.bsky.social , @msikic.bsky.social & industrial partners @nanoporetech.com , @pacbio.bsky.social , @awscloud.bsky.social MGI_Technology Next Level Genomics & NovogeneAIT

An Analysis presents benchmarking results from the Singapore Nanopore Expression consortium project, plus a valuable resource of datasets generated from various long-read and short-read RNA sequencing technologies. @jonathangoeke.bsky.social @astar-gis.bsky.social www.nature.com/articles/s41...

Delighted to see this published. Congratulations Ying Chen and @jonathangoeke.bsky.social

Dr Heng Li presented his renowned work on the challenges and promises of long-read sequencing at GIS. His presentation on de novo assembly and variant calling created much excitement and discussion onsite and online. View the recording here👉 shorturl.at/EkDOC Photo credit: @jonathangoeke.bsky.social

Looking forward to the Long-Read Symposium tomorrow! I will be talking about long read RNA-Seq and the SG-NEx Project github.com/GoekeLab/sg-...

RNA xkcd.com/3056

Hi everyone! This is an amazing opportunity to join an incredible team! Great environment and interesting research! If you’re looking for a great place to grow, check this out and come join us!😊

Paper out !!🥳big thanks to all authors @marliesoomen.bsky.social @diego-rt.bsky.social @kaessmannlab.bsky.social @jonathangoeke.bsky.social @lorenzamottes.bsky.social & 'bluesky-less' Lots of interesting new TE (& genes) biology Data fully browsable💻 👉 embryo.helmholtz-munich.de/shiny_embryo/

Great opportunity, great lab setting global standards in the field of long read RNA! Highly recommended if you’re at this stage in your career

We are recruiting! We have an open position for a postdoctoral fellow to join our team at the Genome Institute of Singapore to work with long read RNA-Seq data. It’s a beautiful city state and outstanding research environment! More details here: jglab.org/postdoc-posi...

Our new paper examining how to analyse longread RNA-seq with no reference genome. We compare approaches for assembly and downstream analysis, from transcript accuracy to differential expression. Lead by @alexyfyf.bsky.social. Thnx to all contributors incl. @qgouil.bsky.social for the pea data!

Very happy to release the single cell and spatial long read RNA seq module for our transcript discovery and quantification tool Bambu (Bambu-clump) www.biorxiv.org/content/10.1...

After a lot of optimisation, we now released the single cell and spatial long read RNA seq module for our transcript discovery and quantification tool Bambu (Bambu-clump) The key challenges were dimensionality (>200,000 transcripts x many thousand cells) and estimation of transcript expression

Finally sending a first post here! I will be posting mostly about RNA biology, technology, and computational methods. We work with long read RNA-seq at the Genome Institute of Singapore, find out more from the lab's website: www.jglab.org and GitHub page: github.com/goekelab