Top Tweets for #SCRNAseq
Master single-cell transcriptomics! π§¬π» Join our 4-Day Online NGS ScRNA-Seq Data Analysis Workshop to cover workflows from Cell Ranger preprocessing to Seurat clustering and cell type annotation.
π
July 13β16, 2026 πRegister: https://t.co/mMudfceL5p
#ScRNAseq #Bioinformatics
π‘ Designed for researchers, students, and bioinformatics enthusiasts working in biomedical data analysis.
π
July 13β16, 2026 | Online
π https://t.co/D676SBIPsU
#scRNAseq #SingleCell #Bioinformatics #RNASeq #Genomics #Seurat #CellRanger #ComputationalBiology
Overall, LKB1 deficiency rewires breast cancer in a subtype- and cell-type-specific way, thus reshaping hormone, immune, and metabolic programs.
Read our preprint π π https://t.co/m2FQkOJ5X3
#BreastCancer #LKB1 #STK11 #scRNAseq #TNBC #ScienceIsFun #ScienceSaves
New to scRNA sequencing? Watch our on-demand webinar, covering #scRNAseq workflows, experimental design, data analysis & applications in oncology, immunology & #precisionmedicine.
#SingleCell #Transcriptomics #Genomics #NGS #Bioinformatics https://t.co/cA7QC19NOz
Working on tumor immune profiling or scRNA-seq annotation? https://t.co/Ya0l1RXrep
#Trinobia #Bioinformatics #scRNAseq
A pan-cancer single-cell atlas of tumor-associated dendritic cells just published in @NatureComms .
Built by @VIBLifeSciences and @VUBrussel . 178,000+ cells. 14 mouse models. 10 human cancer types. π§¬
https://t.co/g2YEFcx8x6
#Trinobia #Bioinformatics #scRNAseq
π For more information on workshop structure, curriculum, and training resources, register here: https://t.co/mMudfcfiUX
π Advance your bioinformatics skills with ScRNA-seq!
π #ScRNAseq #SingleCellAnalysis #Transcriptomics #Bioinformatics #Genomics #RNASeq
π’ Master single-cell transcriptomics! Join our 4-day hands-on online workshop on NGS ScRNA-Seq Data Analysis using Cell Ranger, Seurat, and more.
π
July 13β16, 2026 π Online
π Register here: https://t.co/mMudfceL5p
#ScRNAseq #Bioinformatics #NGS
Working with large-scale single-cell datasets in IBD or related areas? We help research institutes build the pipelines to make resources like this usable.
https://t.co/GhitaAcKQ6
#SingleCell #scRNAseq #GutBiology
Single-cell RNA sequencing is uncovering links between neuroinflammation and pathological brain activity in Parkinson's disease, opening new possibilities for personalized therapies.
#ParkinsonsDisease #Neuroinflammation #scRNAseq #PrecisionMedicine
https://t.co/poOs2RTYyw
From standing at the lab bench preparing the very first single-cell libraries for these samples, to finally seeing this work published, this has been an unforgettable journey.π₯Ή π§¬β¨ #scRNAseq #Microbiome #Genomics
Took 2 years & endless discussions/customized bioinformatics pipelines/Genomic validations...and finally happy reading..@IGIBSocial
Intracellular microbial shifts during COVID-19 infection and longitudinal recovery revealed by single-cell RNA sequencing.. https://t.co/0lWqTW2TJo
Using #scRNAseq we found human #epithelioids retain main epithelial cell populations and recapitulated major basal, proliferative and differentiated compartments, while also preserving aspects of tissue-specific cell identity
New work from our group and Kim Thrane's resolving the immune phenotype of sinonasal cancer with TCR/BCR profiling in tissue sections. SNC are sky-high for Treg cells and Treg clones colocalise with CD8 T and B cells in CXCL9+ niches. #spatialVDJ #scRNASeq
https://t.co/GDURWOAaYp
π¨ Early Bird Discount EXTENDED!
Still thinking about learning Single-Cell RNA-Seq analysis? This is your chance.
π Register: https://t.co/BOcsCCFVHI
#scRNAseq #Bioinformatics #SingleCell #Genomics #ComputationalBiology #OmicsNexus
β³ Early Bird Discount Ends Today!
Learn how real scRNA-seq analysis works β from raw data to biological discovery β in our 3-day hands-on workshop.
π Register: https://t.co/BOcsCCFnSa
#scRNAseq #Bioinformatics #SingleCellRNASeq #OmicsNexus
β³ 3 days left for the Early Bird Discount!
Learn how real scRNA-seq analysis works β from raw data to biological discovery β in our 3-day hands-on workshop.
π Register: https://t.co/BOcsCCFVHI
#scRNAseq #Bioinformatics #SingleCellRNASeq #OmicsNexus
Matteo Marchionni will present scPleiades, a new multi-omics analytical pipeline designed to overcome high noise levels, dropout events, and signal contamination in single-cell and spatial omics for more accurate cell phenotyping. π§¬π
#Bioinformatics #scRNAseq #BITS2026
Matteo Andriolo at #BITS2026 presents ArchetypalC, a high-performance C++ implementation of Archetypal Analysis for large-scale single-cell data.
#Bioinformatics #ScRNAseq
Insightful talk by Jae Hyun Byun at #EASCongress2026 on #stable vs #unstable plaques in humans using #scRNAseq, showing that unstable plaques have fewer #VSMCs overall but more #leukocytes, with remaining VSMCs shifting toward inflammatory/synthetic states.
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