alba

Health Biology - Bioinformatics

[alba @albarma]

Super cool (and crazy fast) new tool!

[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

[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

[Jonas Meisner @Rosemeis91]

We further find that PRSs computed from large-scale GWAS summary statistics on depression and schizophrenia are highly correlated with estimated principal components in the iPSYCH cohort, thus, indicating residual confounding due to population structure in the GWASs.

[alba @albarma]

Very cool (and fast) new software for more accurate polygenic predictions and heritability estimations!!

[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]

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]

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

[bioRxiv Bioinfo @biorxiv_bioinfo]

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

[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

[Prof Darren Grocke @GrockeSIBL]

Check out this article on ‘Vittrup Man’

https://t.co/orvl2Gf55W

[Prof Darren Grocke @GrockeSIBL]

#PLOSONE
Vittrup Man – The life-history of a genetic foreigner in Neolithic Denmark...

The lethally maltreated body of Vittrup Man was deposited in a Danish bog, probably as part of a ritualised sacrifice...

Like the start of a true story...

https://t.co/hs03q2JQIa

[Frido Welker @FridoWelker]

Congratulations to @LFGeoGenetics @Globe_UCPH colleagues and others on no less than four Nature publications out today on the population genomics of western Eurasia:
https://t.co/FjOT4YdWY4

[Danmarks Grundforskningsfond @GrundforskFond]

📢Eske Willerslev, leder af Center for Ancient Environmental Genomics @UCPH_Research, står i spidsen for fire nye studier i tidsskriftet Nature.👏https://t.co/ZekUgHKVeQ

[nature @Nature]

This week in Nature: Steppe change – Migration and lifestyle shifts in prehistoric Eurasia linked to raised genetic risk of multiple sclerosis.

Browse the full issue: https://t.co/ZwPiAC8Mb2

[Videnskab.dk @videnskabdk]

Eske Willerslev sætter tyk streg i Danmarkshistorien: »Etniske danskere har ikke været her i mere end 5.000 år«  https://t.co/4HMMOTcrgC #dkvid #dkforsk

[nature @Nature]

Nature research paper: 100 ancient genomes show repeated population turnovers in Neolithic Denmark https://t.co/X1OpDIYwKg

[nature @Nature]

Prehistoric events might explain European multiple sclerosis risk https://t.co/2VDxJi5AEX

[nature @Nature]

Nature research paper: Elevated genetic risk for multiple sclerosis emerged in steppe pastoralist populations https://t.co/SitCwqo0tL