David Enard

@denard.bsky.social

Evolutionary Biologist. Ancient epidemics. Genomic adaptation.

Does someone know what game Paraguay was playing yesterday? Asking because it was not soccer. Clearly the referee was also confused. Sad to see teams who forgot that it is also about entertaining the public with beautiful technical fits.

Some deep work by my former student Matthew Aguirre on what the properties of cis- and trans eQTLs can teach us about the structure of gene regulatory networks!

Matthew Aguirre@aguirre404.bsky.social · 2mo ago

Happy to share that this is now out in Cell Genomics and a featured paper for Multi-Journal Submission from @cellpress.bsky.social — many thanks to the editorial team + our reviewers! Short recap + some further thoughts on the paper ⬇️ [1/7] www.cell.com/cell-genomic...

It is unfortunate that this has to be reminded so much to reviewers at all steps: doing this things right or at least as well as possible IS in itself a strong innovation.

1/2) #bioinformatics people interested in #genome alignment, has anyone tried to do "adaptive seeding throttling" where after a long run time a lastz job would go into an adaptive mode where it detects that a specific repeat is initiating too many seeds, which would trigger lastz to mask it?

I have now heard repeatedly from non-US PIs they stopped to go to American confs because the PIs there being socially exclusive and not including much anyone else in social interactions. I have also seen it, I find it disconcerting to this day.

Recently we're working with SNPs from whole genome assemblies to estimate ARGs. It's a pain to go from alignment files to vcf, keeping track of masked and invariant sites. So we wrote a snakemake/SLURM pipeline. Hope it's useful to others, and don't hesitate to post issues if there are problems!

GitHub - RILAB/argprep: Snakemake pipeline for generating SINGER input files from whole genome alignment .maf files.

Snakemake pipeline for generating SINGER input files from whole genome alignment .maf files. - RILAB/argprep

github.com

Excited to share our new preprint! 🍇🧬 We analyzed 639 genomes across 48 grape species to understand how hybridization drives adaptation. • ~14% of average Vitis genome is introgressed • Most parallel adaptations are shared via gene flow • Two "hybrid species" are actually hybrid swarms

biorxiv.org

To add one thing: if you have the data to run both classic dN/dS tests and MK tests, choose the latter. dN/dS tests are blind to positive selection in the important, constrained proteome, while MK test will work regardless of constraint, if DFE well estimated. #evolution #adaptation #popgen

David Enard@denard.bsky.social · 6mo ago

1/5) Re-reading this excellent paper on using mutation-selection balance models to quantify positive selection. The discussed lack of congruence between MK approaches and classic dN/dS test is entirely unsurprising, see thread below. www.pnas.org/doi/10.1073/...

1/5) Re-reading this excellent paper on using mutation-selection balance models to quantify positive selection. The discussed lack of congruence between MK approaches and classic dN/dS test is entirely unsurprising, see thread below. www.pnas.org/doi/10.1073/...

PNAS

Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans...

pnas.org

Happy to share our last study on how age, biological sex and genetics affect not only the extent of antibody responses against viruses but also the specific viral epitopes recognised. Thanks to Axel Olin @EtiennePatin @LabExMI @institutpasteur @cdf1530 @CNRS www.nature.com/articles/s41...

Demographic and genetic factors shape the epitope specificity of the human antibody repertoire against viruses - Nature Immunology

Patin and colleagues present a mineable Resource database for identifying demographic and genetic factors that impact antiviral antibody repertoires in humans.

nature.com

I am seeking a postdoc to join my group at UCLA -- ideally the candidate would have some experience in either population genetics or microbes/microbiome (computational background needed). We have a range of projects and are happy to tailer to your interests. Please dm/email me if interested.

Counting publications is such a poor proxy for scientific productivity. Counting discoveries, with a bonus for discoveries that were not anticipated, and important insights is a much better proxy. I am wondering if there are standardized, systematic ways of quantifying this.

1/5) After months scratching our heads (Is this why I am bald?) when analyzing the performance of CNNs to find sweeps in real genomes, postdoc Jesus Murga Moreno figured out that training with simulations with recombination that closely reflects the distribution of recombination in the real genome