Top Tweets for #TFbinding
TRANSFAC® Empowers Discovery of Combinatorial TF Binding in T Cells. We are excited to see TRANSFAC® continue to support innovation at the interface of proteomics, genomics, and network biology.
Read the paper: https://t.co/neo7PyRXID
#TRANSFAC #CombinatorialBinding #TFBinding
Perspectives on Codebook: sequence specificity of uncharacterized human transcription factors https://t.co/yXjLlDl1Xo
▶️This preprint provides a summary of the release of a bunch of new preprints by the Codebook Consortium (see three posts below). #TFbinding
Emerging links between phase separation and transcription factor haploinsufficiency [Reiner Veitia] https://t.co/bVYClqYzXA #TFbinding
![generegulation's tweet photo. Emerging links between phase separation and transcription factor haploinsufficiency [Reiner Veitia] https://t.co/bVYClqYzXA #TFbinding https://t.co/9hVT5Sk2UX](https://pbs.twimg.com/media/Ga55n8FWAAAnUan.jpg)
🛠️New software tool to predict transcription factor-targeted genes in cancer!
Target Finder of Transcription Factor (TFoTF) can be used in large cancer datasets and estimate correlations between TFs & targeted genes
🔓https://t.co/BiLZjvfNYP
#CancerResearch #TFbinding
#FEBS2023 Day 3️⃣ is ongoing with the Gene expression session where @BarkaiNaama shed light on the molecular grammar of how TF binding to the genome is assisted by nonDBD domains
🤯There are specificity determinants within IDR domains
#Condensates
#LLPS #TFbinding
We hope that COBIND's simple approach and versatility will be useful to the community, and its potential in identifying novel TF co-binding patterns could help us better understand TF cooperation. #transcriptionregulation #TFbinding #COBIND
7/9
Excited to present our new preprint on nucleosome reorganisation in breast cancer! https://t.co/Ab5dQNWj5Z It's a large project, mapping nucleosome repositioning in paired normal and tumour tissues and cell-free DNA from the same patients #TFbinding #cfDNA #H1X #5mC #LiquidBiopsy
The cherry on top of the cake: our 0.98 Å FoxH1 structure (https://t.co/9oebFK88P0) is the 2nd highest resolution Protein-DNA complex structure in the world 😊
#PioneerFactors #TFbinding #StructuralBiology
@IRBBarcelona @MSKCancerCenter
@NatureComms https://t.co/9SXbwLgqBG
3/3
Predicting nucleosome positioning using statistical equilibrium models...is out!#chromatin #TFbinding https://t.co/EMVWlxnZbZ
This CTCF paper bot is set to be mirrored on Twitter (https://t.co/n1YJZKTZIg) and Mastodon (@[email protected]). #CTCF #TFbinding #chromatin #3Dgenome
This #TFbinding bot now should be mirrored both on Twitter (https://t.co/VIpGnAbBtq) and Mastodon (🐘[email protected])
I am at the Protein-DNA interactions conference in
@WeizmannScience. It's a major event in #TFbinding, organised by Koby Levy and
@Afek7Afek. Great talks and chats! Not going to Tweet a lot, just enjoying science (first in-person conference since 2020) https://t.co/cE5zIiAzvc
DeepZF: improved DNA-binding prediction of C2H2-zinc-finger proteins by deep transfer learning @OUPBioinfo #machinelearning #transcriptionfactor #zincfinger #TFbinding https://t.co/EOkJDpTfX2
DNAffinity: a machine-learning approach to predict DNA binding affinities of transcription factors https://t.co/RFxtbzSVtm #machinelearning #transcriptionfactor #chromatin #TFbinding #TFaffinity #DNAffinity
Happy to share the main work of my (first) postdoc, which seeks to improve upon PWM accuracy by supplementing/replacing it with methylation data, while also making the motif subject-specific #OpenData #OpenScience https://t.co/PtgliLnONj #TFbinding
Using methylation data to improve transcription factor binding prediction https://t.co/jJyuqOs66j #biorxiv_bioinfo
Here we show how maternal pioneer factor FoxH1 achieves high-affinity binding to free and nucleosomal DNA & binds canonical forkhead & FoxH1-specific motifs during early embryo development
@maciaslab1 @IRBBarcelona @David_Lab_MSK #PioneerFactors #TFbinding #StructuralBiology
We developed a method to predict chromatin maps starting with #TFbinding at single-nucleotide resolution (consider partial nucleosome unwrapping, etc), then scaling up to single-nucleosome resolution (that's when chromatin nanodomains appear). More details in thread by @TeifLab
Postdoc – Computational Biology
National Institutes of Health (NIH), Bethesda, Maryland, USA
https://t.co/Pa6v9PSLKS
#ScienceJobs #generegulation #chromatin #TFbinding #CTCF #epigenetics #openscience #TranscriptionFactors #genomics #Bioinformatics
Postdoctoral & PhD Positions in Systems Biophysics with David Lukatsky at the Ben-Gurion University of the Negev (Israel) https://t.co/5tovrUmO1T
Projects devoted to #TFbinding in embryonic stem cells (ESCs) in the course of differentiation.
📧Apply by email: [email protected]
PLease RT: @generegulation
#chromatin #generegulation #TFbinding #CTCF #cancer #stemcells #epigenetics #rstats #bioinformatics #OpenScience @Bioconductor
https://t.co/C3hPRepHI4
Application open 🔓
Do you want to learn how to extract biological insights from genomics data, such as ChIP-seq, ATAC-seq or Hi-C?
This course might be of interest👇
https://t.co/C3hPRepHI4
#Epigenomics #NGS #Genomics #Bioinformatics @bioconductor #RStats
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