Elias Orouji

Benchmarking peak calling methods for CUT&RUN AbstractMotivation. Cleavage Under Targets and Release Using Nuclease (CUT&RUN) has rapidly gained prominence as an effective approach for mapping prot

New publication alert! 🚨 A team at @uhn.ca's @pmresearch-uhn.bsky.social explored #computationalmethods for analyzing CUT&RUN #genomic data, offering insights to improve this new, powerful technique for studying protein-DNA interactions.

🔗 doi.org/10.1093/bioi...

Happy to share our recent publication on benchmarking peak calling methods for CUT&RUN.
academic.oup.com/bioinformati...
Published in @oxunipress.bsky.social Bioinformatics | led by aminnoorani.bsky.social

#Epigenomics #Genomics #Bioinformatics #MachineLearning #CUTandRUN #CompBio #4DNucleome

Excited to share our latest publication: CAR-T cells in colorectal cancer: Pioneering new avenues in solid tumor immunotherapy.
ascopubs.org/doi/10.1200/...
Journal of Clinical Oncology @ascocancer.bsky.social
#CART #CellTherapy @ascopost.bsky.social @oncoalert.bsky.social @oncodaily.bsky.social

ChromatinHD connects single-cell DNA accessibility and conformation to gene expression through scale-adaptive machine learning - Nature Communications Functional chromatin changes occur at different scales. Here, the authors introduce ChromatinHD, a method that characterises differential and predictive chromatin accessibility changes in a scale-adap...

Superb work by Wouter @Zouters & @OlgaPushkarev developing ChromatinHD, two scale-adaptive #machinelearning models & interpretation tools that use #scRNAseq + #scATACseq data to better understand how chromatin accessibility relates to gene expression doi.org/10.1038/s414...

Happy 2025 everyone 🎆 !