Excited to attend #EDRC2025 in Alicante, starting today! If you want to know more about the impact of genetic variation, come visit my poster P-023 Saturday afternoon and learn about FlyCADD, our impact prediction tool for SNPs! 🧬

@jcbnunez.bsky.social et al. present an expanded release of the community-generated resource Drosophila Evolution over Space and Time (DEST 2.0), and showcase it by studying the species' demographic history and signatures of adaptation.

🔗 doi.org/10.1093/molbev/msaf132

#evobio #molbio #drosophila

Excited to be in Barcelona for #ESEB2025 ! If you want to know more about the application of FlyCADD for SNP impact prediction in D. melanogaster, I'll be presenting this work Tuesday 19th 12.45-1PM! Or catch our group at poster P02.334 to know more about the impact of SNPs 🧬☀️

With @geneticjulia.bsky.social @bernardkim.bsky.social @jellers.bsky.social Katja Hoedjes, Mirte Bosse

FlyCADD was developed by applying the CADD framework (Kircher et al. 2014) for the first time to an insect genome, using available genome annotations for D. melanogaster and a drosophilid whole genome alignment.

All FlyCADD impact prediction scores are available on Zenodo!

FlyCADD provides impact prediction scores for any SNP on the D. melanogaster genome! We show FlyCADDs abilities in:
- ranking candidate SNPs (from GWAS/E&R) for variant prioritization
- interpretation of naturally occuring SNPs
- refining of CRISPR-Cas9 experimental design

Preprint alert: FlyCADD! 🧬

Excited to share FlyCADD: impact prediction tool scoring the functional impact of any single nucleotide variant across the entire Drosophila melanogaster genome, to distinguish causal from neutral SNPs

www.biorxiv.org/content/10.1...