We’re hiring! I’m looking for a bioinformatician or post-doc to work on large-scale single-cell data (>13,000 samples) to identify biological variables contributing to molecular variation.
Great opportunity working with a fun, talented team @GarvanInstitute.
Please RT
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Time's running out to submit an expression of interest for the 2024 @ozsinglecells hackathon in Sydney Dec 9-10! Will use Scale Bio data from stem cell-derived cardiomyocytes to develop tools for temporal dynamics.
Don't miss out, submit an EOI by Oct 15: https://t.co/IRq698sYhb
Don't miss out on the @ozsinglecells hackathon Dec 9-10 in Sydney! It's going to be fun jam-packed days looking at temporal dynamics using Scale Bio data from stem cell-derived cardiomyocytes.
We've extended the EOI deadline to Oct 15: https://t.co/IRq698sYhb
Join our #ISSCRDigital Webinar to explore #bioinformatics, population genetics, #stemcell biology, & emerging hPSC models for studying human #populationgenetics.
Plus, apply for a Lightning Talk to share your research!
Learn more 👉 https://t.co/QsevA8GX84
Excited about this @ozsinglecells hackathon that we're hosting in Sydney in December. If you're interested in temporal dynamics, stem cells or Scale Bioscience data, fill out an expression of interest. DM if you have any specific questions about the event. Please RT
Calling all researchers interested in developing better tools for understanding cellular dynamics across time in single cell experiments. We’re hosting the Oz Single Cell Hackathon 9-10 Dec in Sydney. Fill out EOI before 10 Oct! Travel awards available https://t.co/o66qfO7AfC
Calling all researchers interested in developing better tools for understanding cellular dynamics across time in single cell experiments. We’re hosting the Oz Single Cell Hackathon 9-10 Dec in Sydney. Fill out EOI before 10 Oct! Travel awards available https://t.co/o66qfO7AfC
Absolutely thrilled to receive this Data Insights grant with @drjosephpowell from @ChanZuckerberg! This will allow us to continue our work understanding contributions to variation in health and disease at single cell resolution.
Garvan researchers Dr Drew Neavin and Prof Joseph Powell have been awarded a prestigious Data Insights grant from @ChanZuckerberg. The funding will support their groundbreaking 18-month project, SNAPSHOT, aimed at understanding cellular variation in health and disease.
SCimilarity looks absolutely fascinating. I’ve always been a bit concerned about cell types missing from a selected reference dataset and leveraging many datasets with diverse cell types is a fantastic advancement. Keen to try it out on my next single-cell dataset!
Ever analyze a scRNAseq dataset and wonder if a specific cell state has been seen before? And if so, where in the human body? Under what conditions? Well, now you can use our lightning fast SCimilarity search and foundational model for that! ⚡️🔎🧬 https://t.co/t8L1xFOffd (1/11)
@skummerf@drjosephpowell Thanks @skummerf! Was such a pleasure and a privilege to present this work. Looking forward to continuing to promote diversity in single cell and genetics future works!
Very excited to be part of this conversation series hosted by @the_ASSCR alongside @cbazodi! Tune in for a discussion on stem cell ‘villages’ next Wednesday.
Have you ever wondered which demultiplexing and doublet detection methods to apply to your single-0cell dataset? Wait no more! We've developed Demuxafy, an easy-to-use software platform to support method selection and execution for single-cell demultiplexing and doublet removal.
Introducing Demuxafy: Improvement in droplet assignment by integrating multiple single-cell demultiplexing and doublet detection methods. Work led by @drneavin as part of the sceQTL-gen consortium https://t.co/Dr8qOmjpWF
You can find this work described in our preprint (https://t.co/LvPUpuALgJ) and instructions for running Demuxafy on our website: https://t.co/oJ8y4WhRYT. Feedback, input and suggestions very welcome!