Simon Toftholm Jakobsens @SimonToftholm
PhD Fellow in the Siersbæk lab at @GenomicsUnit @NATsdu. Studying transcriptional regulation in cancers. Joined April 2019-
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8 Resources to study Transcription factor binding, enhancers and histone modification distribution 1. ENCODE encodeproject.org
1/ You tested 10,000 genes. 500 are significant (p < 0.05). Exciting? Maybe. But if you used raw p-values, you just got played by randomness. Let’s talk FDR.
Too many bioinformatics tools, too little time. Stop endlessly bookmarking—just pick one and start analyzing! 🧵👇
Excited to share our new review on MYC in @oncogenejournal!🧬 We propose a model showing how MYC enhancer activity drives context-specific gene programs, distinct from core MYC target genes driven by E-box binding at promoters. Read more: rdcu.be/dYnW0 @RSiersbaek #MYC
We joke that DMEM is fancy Gatorade.... So how much DMEM can you replace with Gatorade before cells die? Lets find out!
"Biologists and scientists are an angry crowd.", said Nvidia's Jensen Huang at the @RecursionPharma JPM24 event. That's also my experience working with you guys. You're VERY angry, and that's the most beautiful thing about you. I'll explain, but first, here's what Jensen said:…
🍺I am so excited that my first paper is online (nature.com/articles/s4159…)! Joint profiling of histone modifications and transcriptome are critical to understand the active or repressive gene regulatory network. We therefore develop Droplet Paired-Tag,
There have been an incredible number of gene-editing advances (including in delivery) over the last three days. Here are 7 of them...🧵
xcore: an R package for inference of gene expression regulators bmcbioinformatics.biomedcentral.com/articles/10.11…
Happy to share the pre-print of my P.hD. work on the transcriptional role of MYC in activating cancer type-specific enhancers! 🥳 biorxiv.org/content/10.110…
Happy to share the pre-print of my P.hD. work on the transcriptional role of MYC in activating cancer type-specific enhancers! 🥳 biorxiv.org/content/10.110…
1/n Single-cell data analysis is complex with many tools to choose from - but which ones work best and should be used when? Led by @LukasHeumos and @AnnaCSchaar, we wrote a free online book that aims to guide single-cell data analysts: sc-best-practices.org
I somehow missed it when first came out, only got to know this after the revised ver. now. This is wild. Seems like inDrop but in the tube w/o the device. “Regardless the tube size, only two minutes of vortexing is required for cell capture.” - very nice biorxiv.org/content/10.110…
Inspiring and fun week at the #EMBO 20/20 vision of the future of #NuclearReceptor together with the Siersbæk lab!
ggcoverage: an R package to visualize and annotate genome coverage for various NGS data biorxiv.org/content/10.110…
What are the rules of enhancer syntax? How flexible/constrained TF motif positions within enhancers are? How does the sequence context modulate the contribution of motifs to enhancer function? Excited to share our work together with @reiterfanny addressing these questions! 1/19
What are the rules of enhancer syntax? How flexible/constrained TF motif positions within enhancers are? How does the sequence context modulate the contribution of motifs to enhancer function? Excited to share our work together with @reiterfanny addressing these questions! 1/19
Today was a fantastic day in the lab as @SimonToftholm defended his PhD thesis @GenomicsUnit @bmbSDU @NATsdu! He was an absolute star😃 amazing job, Simon! Many thanks to @zwartlab @Bo_Porse @Grontved_Group for a great scientific discussion.
Happy to announce that SCENIC+ is out! SCENIC+ is a new workflow to infer enhancer-driven gene regulatory networks from scRNA-seq and scATAC-seq data. Great work with @Bravo_Potato at @steinaerts lab! 🧵 1/11 🧵.
Research can be hard, but there are ways to make it simpler. Here are some tips for working in the lab 🧵⬇️

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