CompBio Postdoc interested in HumanGenetics, NeuroEpigenomics & Addiction @unige_en

Geneva, Switzerland
Joined December 2014
Dr. Anna Ramisch retweeted
🔥🧬Finally out!🧬🔥 Check out our latest study in Nature Genetics uncovering a surprising phenomenon of convergent co-regulated promoters cocoProms doi.org/10.1038/s41588-024-0… 🧑‍🤝‍🧑I'm happy to be part of such an amazing team! 🧵
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Dr. Anna Ramisch retweeted
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 rdcu.be/d5ov4 See thread from lead author @SarahBrotman below
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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
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Dr. Anna Ramisch retweeted
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: github.com/RoseYuan/sc_chrom… genomebiology.biomedcentral.…
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Dr. Anna Ramisch retweeted
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). researchsquare.com/article/r….
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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). researchsquare.com/article/r….
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Dr. Anna Ramisch retweeted
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). researchsquare.com/article/r….
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Dr. Anna Ramisch retweeted
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🙏
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‼️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 💊! m.genesdev.cshlp.org/content…
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Dr. Anna Ramisch retweeted
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! biorxiv.org/content/10.1101/…
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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 ow.ly/cfek50SizmR
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Figeno, my visualization tool for genomics🎨🧬, is now published in Bioinformatics! doi.org/10.1093/bioinformati… 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.
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Dr. Anna Ramisch retweeted
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: biorxiv.org/content/10.1101/… 1/
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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
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Dr. Anna Ramisch retweeted
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
The choice of whether to use Seurat or Scanpy for single-cell RNA-seq analysis typically comes down to a preference of R vs. Python. But do they produce the same results? In biorxiv.org/content/10.1101/… w/ @Josephmrich et al. we take a close look. The results are 👀 1/🧵
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Dr. Anna Ramisch retweeted
Excited to share Nicheformer! Led by @Alejandro__TL & @AnnaCSchaar, Nicheformer is a foundation model for single-cell & spatial omics. Its innovation is going beyond disassociated analysis to capture & predict local tissue context at single-cell level. biorxiv.org/content/10.1101/…
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Dr. Anna Ramisch retweeted
The difference in @10xGenomics' Cell Ranger's default between version 6 and 7 is discussed in this thread, but it's such a big deal that it's worth its own thread. tl;dr: in v7 Cell Ranger changed how it produces the gene count matrix leading to a huge difference in results. 1/
The choice of whether to use Seurat or Scanpy for single-cell RNA-seq analysis typically comes down to a preference of R vs. Python. But do they produce the same results? In biorxiv.org/content/10.1101/… w/ @Josephmrich et al. we take a close look. The results are 👀 1/🧵
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