Julia Beets

PhD Student | FlyCADD | Genetic variation in life-history adaptation in Drosophila melanogaster | Single nucleotide polymorphisms | @ALIFE_VU VU Amsterdam

[Julia Beets @Julia_Beets]

FlyCADD scores can give insights into the impact of genetic variation at single nucleotide resolution. We describe FlyCADD and its application to study naturally segregating SNPs, interpret GWAS-identified SNPs, rank SNPs based on impact and improve genome-editing experiments 🧬

[Julia Beets @Julia_Beets]

Excited to share that FlyCADD has been published in Genetics! 🧬
Predict the functional impact of SNPs anywhere in the genome of Drosophila melanogaster using FlyCADD: https://t.co/AVJo70Bljy

[Julia Beets @Julia_Beets]

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 🧬☀️

[Julia Beets @Julia_Beets]

With @JuliaHoglundBio @Bernard_Y_Kim Jacintha Ellers @KatjaHoedjes @BosseMirte

[Julia Beets @Julia_Beets]

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
(1/n)

[bioRxiv Genomics @biorxiv_genomic]

Predicting the functional impact of single nucleotide variants in Drosophila melanogaster with FlyCADD https://t.co/ED7y27H4qS #biorxiv_genomic

[Julia Beets @Julia_Beets]

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!

[Julia Beets @Julia_Beets]

This week I had a lovely time attending #DrosEU24 #Barcelona Full of great talks, discussions and sun! Had the opportunity to present FlyCADD - the impact prediction tool for single nucleotide variants in D. melanogaster - to the community! DM for more information on the tool 🧬

[Julia Beets @Julia_Beets]

A session on the use of genomic tools to assess population health at #NAEM2024 🧬 It was amazing organising and listening to the diverse talks and discussions! 🧬🦣🐸🪱🪶🍯🐘 Organised together with Niek and @mdv_bio

[Julia Beets @Julia_Beets]

Organising a parallel genomics session at NAEM 2024 with @mdv_bio and Niek Barmentlo! Send us your abstracts related to genomics before December 4th 🧬

[Julia Beets @Julia_Beets]

Had a great time at #nlseb2023 discussing my poster with my research plans on understanding the impact of single nucleotide variants in Drosophila melanogaster by creating and applying a prediction tool and CRISPR-Cas9!

[DrosEU @Dros_EU]

Video summary of the 13th @DrosEU workshop.

Thanks again to the participants, especially to Bas, Joost, Marjan, and @WUR for hosting us.

Great days of talks and discussion in a friendly, collaborative, and beautiful setting #DrosEU23 #Wageningen #Drosophila #Genomics

[DrosEU @Dros_EU]

Thanks to all the in person and virtual participants of the 13th DrosEU workshop, and to Bas, Joost and Marjan for hosting us @WUR. Two great days of talks and discussion in a friendly, collaborative, and constructive atmosphere #DrosEU23 #Wageningen #Drosophila #Genomics

[Julia Beets @Julia_Beets]

Two days of #DrosEU23 meeting in #Wageningen! Interesting talks and discussions on #Drosophila #genomics and the opportunity to share my PhD-project with the @Dros_EU community!

[DrosEU @Dros_EU]

@Julia_Beets shares her PhD project on predicting the impact of genetic variants to understand the genetic basis of life history adaptation #DrosEU23

[Physalia-courses@ONLINE @Physacourses]

Many thanks to the instructors @C__Hahn @passDan and attendees of the Physalia Winter School in Bioinformatics.

We have covered so many different topics this week, from Unix to Genome Annotation and Phylogenomics!

Thank you all!🙏
#Bioinformatics #Genomics #Rstats #RNAseq