Jonas Meisner

Assistant Professor at University of Copenhagen

[Human Genetics and Genomics Advances @HGGAdvances]

📣New from @Rosemeis91
📄Accurate and scalable genome-wide ancestry estimation using haplotype clusters
🖥️ https://t.co/c1y5DEwzWl
👉 https://t.co/l8kx57LZpO

[Jonas Meisner @Rosemeis91]

Happy to introduce an ancestry estimation submodule in the hapla framework. If you have phased genotype data, unsupervised ancestry estimation has never been faster or more accurate!

Preprint: https://t.co/d0wwrCcdXP
Code: https://t.co/JmLngSr1bM

[bioRxiv Bioinfo @biorxiv_bioinfo]

Accurate and scalable genome-wide ancestry estimation using haplotype clusters https://t.co/8BEp0qXIcP #biorxiv_bioinfo

[Simon Rasmussen @simonrasmu]

1/
Out now in Cell: Our new study uncovers the ancient origins of a genetic mutation that protects against HIV — and rewrites the story of its surprising high frequency in Europe.
Link: https://t.co/MPNiP9cZCe

[Jonas Meisner @Rosemeis91]

@NatureComms @lundbeckfonden @Metabolcenter

[Jonas Meisner @Rosemeis91]

I am excited that our *hapla* framework for fast and scalable haplotype clustering in phased genotype data has been published in Nature Communications! @simonrasmu @MichaelBenros

GitHub: https://t.co/JmLngSrz1k
Paper: https://t.co/VTAFRLjmKE

[Jonas Meisner @Rosemeis91]

Please have a look at the paper and the software! I have just released a new and faster version of *hapla*, and I'm excited about the potential future applications of the inferred haplotype clusters.

[Jonas Meisner @Rosemeis91]

fastmixture is now also officially out in Peer Community Journal! Download it on GitHub and give it a spin: https://t.co/p6yteXaYsC

[Jonas Meisner @Rosemeis91]

Delighted that our fastmixture manuscript has now been peer-reviewed and recommended in PCI Evol Biol, now 30x faster than ADMIXTURE! #openscience
https://t.co/Kh2xgX9rNx

BioRxiv: https://t.co/VyC1sXwY1t
GitHub: https://t.co/p6yteXbwia

[alba @albarma]

Fastmixture is finally out!!! Super cool new alternative to ADMIXTURE! This work has been led by @Rosemeis91 and in collaboration with Cindy Santander and me! Check out the preprint and start saving computing time when running your ancestry analysis.

[Jonas Meisner @Rosemeis91]

Want to test our software on your own data? Our software is freely available and open-source on GitHub.
https://t.co/p6yteXaYsC

[Jonas Meisner @Rosemeis91]

What began as casual discussions and a small hobby project has now evolved into a full manuscript. We are excited to introduce you to "fastmixture", a much faster alternative to ADMIXTURE that doesn't compromise on accuracy in ancestry estimation.
https://t.co/HMV7Df6te6

[Jonas Meisner @Rosemeis91]

We compare "fastmixture" to other recent alternatives and demonstrate through simulations that these alternatives sacrifice accuracy for faster runtimes.

[bioRxiv Bioinfo @biorxiv_bioinfo]

Faster model-based estimation of ancestry proportions https://t.co/waWlGzFefD #biorxiv_bioinfo

[medRxiv @medrxivpreprint]

Leveraging haplotype information in heritability estimation and polygenic prediction https://t.co/ZD0otPyZwY #medRxiv

[Jonas Meisner @Rosemeis91]

https://t.co/N8aUr1esEv

[Jonas Meisner @Rosemeis91]

Happy to introduce our new framework for window-based haplotype clustering, hapla! Here we utilize inferred haplotype clusters for heritability estimation and polygenic prediction but there should be plenty of future applications with this data structure! 👾

[medRxiv @medrxivpreprint]

Leveraging haplotype information in heritability estimation and polygenic prediction https://t.co/ZD0otPyZwY #medRxiv