Super excited to unveil the revamped website of @JoungLab! Designed and built by the amazingly talented Joy Horng who combined my love of science & comics, created all the graphics, and even built her own comic book-style font!! Check it out here: https://t.co/gQdQET8na3
Do you want to learn more about computational methods and recent #CRISPR based assays and don't know where to start? Read our review just published in @MolecularCell! https://t.co/Pi7b502kjI
So you got an exciting scATAC-seq dataset and you want to know which method you should use to analyze it right? We had the same question so we decided to try them all! Read our preprint on benchmarking methods for featurization and clustering here: https://t.co/BDhRpdidfq
A unique possibility to learn approaches and computational tools for #CRISPR#GenomeEditing!!
A 3-day course with two experts in the field @lucapinello & @KendellClement from @harvardmed
28 October -1 November 2019 in Berlin
For more info: https://t.co/t5erkTzkv1
Please RT
New Course!
#CRISPR Genome Editing w/ @lucapinello & @KendellClement this Oct (28-30) in Berlin.
In this course we will cover approaches and computational tools for #CRISPR genome editing
See: https://t.co/t5erkTzkv1
Please RT
Do you want to learn how to quantify CRISPR sequencing data? Come check out @KendellClement's poster 1353/W: CRISPResso2: Characterization of repair outcomes and allele-specific analysis from CRISPR nuclease and base editor genome editing! #ASHG18
CRISPResso2: Allele-specific quantification and visualization of genome editing events from #CRISPR/Cas9, Cas12a (Cpf1) and Base Editors! Fantastic work from @KendellClement and great collaboration with @danielevanbauer, David Liu and J Keith Joung labs https://t.co/XOC6s59IUn
STREAM is out! Inference and interactive exploration of trajectories from #singlecell transcriptomic and #epigenomic data. Also a DB of precomputed #trajectories for many studies! https://t.co/hgdkEHEHBc https://t.co/TotVcqpZWR