Check out FlyCADD, a functional impact prediction tool ⚒️ for single-nucleotide variants in #Drosophila.
Read more in #GENETICS about how to use this tool for studying functional impacts of variants. buff.ly/Hts9Mjp
This sunny and slightly less cold February morning brings six more weeks of winter and January's #TechnicalAdvances wiki.flybase.org/wiki/FlyBase...
Don't forget-if you'd like your paper with a cool new technique, reagent, or resource featured in an upcoming month, flag it when you #FTYP.
Dive into the latest Special Issue of #GENETICS, spotlighting cutting-edge experimental and computational methods shaping the future of genetics research. These papers showcase what’s possible when method development leads the way. Read more: buff.ly/eKVzqHq
FlyCADD scores can give insights into the impact of genetic variation at single nucleotide resolution. We describe FlyCADD and demonstrate its application to study naturally segregating SNPs, interpret GWAS-identified SNPs, rank SNPs prior to follow-up, and improve genome-editing experiments 🧬🧬
Excited to share that FlyCADD has been published in Genetics @genetics-gsa.bsky.social! 🧬
Predict the functional impact of SNPs anywhere in the genome of Drosophila melanogaster using FlyCADD: doi.org/10.1093/gene...
FlyCADD scores can give insights into the impact of genetic variation at single nucleotide resolution. We describe FlyCADD and demonstrate its application to study naturally segregating SNPs, interpret GWAS-identified SNPs, rank SNPs prior to follow-up, and improve genome-editing experiments 🧬🧬
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! 🧬
MBE - Footprints of Worldwide Adaptation in Structured Populations of Drosophila melanogaster Through the Expanded DEST 2.0 Genomic Resource
@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
