First authors: @saracarioscia.bsky.social & @aabiddanda.github.io
Our study "Assessing Ancient DNA Sampling Strategies for Natural Selection Inference in Humans Using Allele Frequency Time Series Data" is now out in GBE! doi.org/10.1093/gbe/... @genomebiolevol.bsky.social @cegamorim.bsky.social
Our study "Assessing Ancient DNA Sampling Strategies for Natural Selection Inference in Humans Using Allele Frequency Time Series Data" is now out in GBE! doi.org/10.1093/gbe/... @genomebiolevol.bsky.social @cegamorim.bsky.social
www.pacb.com/press_releas...
www.pacb.com/press_releas...
We examine the accuracy of PGS predictions at the individual level. We make 3 observations that expose gaps in our understanding of PGS “portability.”
rdcu.be/e0LAr
(1/27)
We examine the accuracy of PGS predictions at the individual level. We make 3 observations that expose gaps in our understanding of PGS “portability.”
rdcu.be/e0LAr
(1/27)
“Characterising the detectable and invisible fractions of genomic loci under balancing selection”
www.biorxiv.org/content/10.6...
www.biorxiv.org/content/10.6...
Malaria population genetic studies have found some puzzling patterns: Ne estimates spanning orders of magnitude, genome-wide negative Tajima's D, and over a quarter of genes with πN/πS >1
1/n
If you are curious and passionate about ecology, evolution and the natural world come work with me in the Department of Biology at NYU!
More details here!
apply.interfolio.com/180051
If you are curious and passionate about ecology, evolution and the natural world come work with me in the Department of Biology at NYU!
More details here!
apply.interfolio.com/180051
Led by amazing postdocs Emma Dann and Ronghui Zhu, with my wonderful collaborator Alex Marson.
Led by amazing postdocs Emma Dann and Ronghui Zhu, with my wonderful collaborator Alex Marson.
Very worryingly we find that TWAS gets the sign wrong around 1/3 of the time (compared to 50% for pure guessing). You can read more about our analysis here, and what we think is going on 👇
In a new pre-print, we find that TWAS gets the sign wrong around 20-30% of the time!
doi.org/10.64898/202...
1/n
Very worryingly we find that TWAS gets the sign wrong around 1/3 of the time (compared to 50% for pure guessing). You can read more about our analysis here, and what we think is going on 👇
In a new pre-print, we find that TWAS gets the sign wrong around 20-30% of the time!
doi.org/10.64898/202...
1/n
In a new pre-print, we find that TWAS gets the sign wrong around 20-30% of the time!
doi.org/10.64898/202...
1/n
@natanaels.bsky.social and Anastasia Stolyarova, trying to think through what sets the mutation rate of a cell type in an animal species: www.biorxiv.org/content/10.6... 1/n
@natanaels.bsky.social and Anastasia Stolyarova, trying to think through what sets the mutation rate of a cell type in an animal species: www.biorxiv.org/content/10.6... 1/n
www.nature.com/articles/s41...
www.nature.com/articles/s41...
Do human recessive genes fit Haldane's 100-year old model?
This work is by the wonderful @jonj-udd.bsky.social, and co-mentored by @jeffspence.github.io
www.biorxiv.org/content/10.6...
Do human recessive genes fit Haldane's 100-year old model?
This work is by the wonderful @jonj-udd.bsky.social, and co-mentored by @jeffspence.github.io
www.biorxiv.org/content/10.6...
Do human recessive genes fit Haldane's 100-year old model?
This work is by the wonderful @jonj-udd.bsky.social, and co-mentored by @jeffspence.github.io
www.biorxiv.org/content/10.6...
Our latest work on causal models for this is out yesterday:
www.nature.com/articles/s41...
A short🧵:
Our latest work on causal models for this is out yesterday:
www.nature.com/articles/s41...
A short🧵:
Reposts are greatly appreciated!
Reposts are greatly appreciated!