🔥🧬Finally out!🧬🔥 Check out our latest study in Nature Genetics uncovering a surprising phenomenon of convergent co-regulated promoters cocoProms https://t.co/z2qjKQUuNG
🧑🤝🧑I'm happy to be part of such an amazing team!
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Very excited to share that our manuscript on cis-eQTL analysis of adipose tissue gene expression in 2,344 samples is now out in Nature Genetics
https://t.co/tTeAeBxivn
See thread from lead author @SarahBrotman below
I'm very excited to share that I’ve started as a group leader @karolinskainst. I am looking for curious, enthusiastic and collaborative postdocs and assistants (pre-PhD) to join us to decipher regulation of hypoxia cell states that govern systems oxygen homeostasis 1/3
New benchmarking study of 8 pipelines and 5 widely used methods for scATAC data analysis..includes embedding, graph and partition-based metrics and useful recommendations by data complexity and downstream tasks. Snakemake workflow: https://t.co/XxZnbBUZWp https://t.co/x9MH9Kbwpg
So happy that our preprint is finally out! If you're interested in the advantages of long-read direct RNA sequencing in population studies, this is for you.
I am excited to share our new preprint with @anavinuela, @AnnaRamisch, @arnsbr, and @dermitzakis! We used direct RNA long-read seq on 60 LCLs from the 1000 Genomes Project to study genetic regulation of transcript abundance & RNA modifications (m6A).
https://t.co/pG2QiS4psN.
Really happy for @aline_real25 to be getting this out. Major implication for me is I've always assumed gwas hits will be explained by expression as it has to mediate then. But here @aline_real25 shows these expression effects can take many forms, not all picked up by common tech
I am excited to share our new preprint with @anavinuela, @AnnaRamisch, @arnsbr, and @dermitzakis! We used direct RNA long-read seq on 60 LCLs from the 1000 Genomes Project to study genetic regulation of transcript abundance & RNA modifications (m6A).
https://t.co/pG2QiS4psN.
We are looking for a bioinformatician @cdf1530@CirbCdf in Paris to analyse genomic/epigenetic datasets🧬 in the context of a synergy @ERC_Research long term program. See below and apply😎 RT🙏
‼️New Epigenetics Review ‼️
Read here at @GenesDev where we discuss brief history of various epigenetic modulator classes 🧬, their links to multiple disease types 😷, and their potential for (combined or novel) therapeutic targeting 💊!
https://t.co/XrV942wPpr
Check out our lab's recent #preprint by Hanna Schwaemmle and our collaborators @unige_en. We asked how do cells assemble functional SWI/SNF chromatin remodeling complexes? The key is to make just the right amount of each subunit!
https://t.co/3tcgezCYgC
Des scientifiques de l’#UNIGE ont identifié les séquences génétiques régulant l’activité des gènes responsables de la croissance osseuse.
@guillaumeandrey @F_Darbellay#science#médecine#recherche#génétique
https://t.co/2MhY5gg3LY
Figeno, my visualization tool for genomics🎨🧬, is now published in Bioinformatics! https://t.co/ln22SewiZ7
It can generate publication-quality figures for sequencing data along genomic coordinates: bigwig, HiC, @nanopore data with base modifications, and WGS with CNAs and SVs.
How do enhancers work over distances that sometimes exceed megabases? Excited to share our work led by @gracecbower where we uncover a unique sequence signature globally associated with long-range enhancer-promoter interactions in developing limb buds: https://t.co/n0p7BdxSdq 1/
Characterizing >100,000 sequences in primary neurons and organoids and deep learning to decode regulatory activity. Amazing work from @Chengyu_Deng_, @seawhalen, Katie Pollard, @LabNowakowski and others as part of #PsychENCODE in @ScienceMagazine.
https://t.co/Y8oPRkqVVF
Ana @anavinuela is motivating us to look at eQTLs beyond gene counts to transcript counts from long read sequencing data
Ana et al used @oxfordnanopore to generate 🧬 data
#BoG24
Excited to share with the single-cell community the most recent work of @tmontsay and @AEsteveCodina from @cnag_eu, something we think will be a game-changer in #scRNAseq quality control: https://t.co/MeVrelcG9n @biorxivpreprint
Get ready for the tweetorial!
1/10
Inspired by @lpachter and team's exploration of scRNA-seq pipelines, we face similar challenges in scATAC-seq, only magnified! After 5 years of tackling these inconsistencies with my advisor @JunhyongKim , Here is a summary (and some solutions😃) 1/n #Genomics#Bioinformatics