Top Tweets for #singlecellRNASeq
π¬ Weβre introducing Partek Flow for single-cell RNA-seq analysis
β
For beginners β
Demonstrations β
Hands-on sessions
Limited quotas! https://t.co/ug2BaIlcr5
#HKUCPOS #CPOS #HKUMed #HKU #SassoonRoad #SingleCellAnalysis #SingleCellRNAseq #PartekFlow #Bioinformatics

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

π¬ Planning your next single-cell project? Take advantage of reduced pricing on Active Motifβs Single-Cell RNA-Seq services for new projects today!
Request an epigenetics quote today: https://t.co/O3Tfv09kb3
______
#SingleCell #SingleCellRNASeq #LifeScience #Biotech #RNASeq

π₯Excited for the publication: "CCI: A Consensus Clustering-Based Imputation Method for Addressing Dropout Events in scRNA-Seq Data"
π https://t.co/zHnDprpY2s
π #SingleCellRNAseq #scRNAseq #Bioinformatics #DataImputation #Genomics #MachineLearning #ComputationalBiology

π¨π-πππ² πππ§ππ¬-ππ§ ππ§π₯π’π§π ππ¨π«π€π¬π‘π¨π© π¨π§ ππ’π§π π₯π-πππ₯π₯ πππ-πππͺ ππππ ππ§ππ₯π²π¬π’π¬! π§¬π»
π πππ π’π¬πππ« π‘ππ«π: https://t.co/f3CPnHh43G
#SingleCellRNASeq #scRNAseq #TrajectoryAnalysis #CellCellCommunication

π£Feature Paper Recommendation
ποΈ"A Refined Single Cell Landscape of #Haematopoiesis in the Mouse Foetal #Liver" by Dr. Elena Ceccacci et al.
π Read the full paper https://t.co/s3OuPq486n
#mdpijdb #DevBio #SingleCellRNAseq #embryo #Erythropoiesis #stemcell

Out Now! Integrating microbial GWAS and single-cell transcriptomics reveals associations between host cell populations and the gut microbiome https://t.co/A7dyyy0PLD #Microbiology #GWAS #SingleCellRNAseq

π’ Weβre excited to collaborate with @RSGItOfficial, Young BITS & #HPC4AI for the First International Biohackathon of #BITS2025! ππ»π¬
A unique opportunity to dive into #singlecellRNAseq data analysis.
ποΈ Pre-registration: May 1, 2025
π More info: https://t.co/rOA8nn7pFp

π Discover how integrating Scale Bio's single cell RNA sequencing with @vizgen_inc's MERSCOPE spatial analysis offers groundbreaking insights into gene expression in complex tissues. Download our latest application note: https://t.co/vzBS3HlRYy
#SpatialBiology #SingleCellRNASeq
When do you need #singlecell resolution over a #bulkRNAseq approach? What value can single cell #multiomics bring to your research? We answer these questions and explore the familiar steps involved in conducting a #singlecellRNAseq experiment in our blog! https://t.co/MYkgdMUgTm
Prunus mume petal single-cell atlas reveals key genes & cell types for floral volatile synthesis, shedding light on fragrance mechanisms. #PlantFloralBiology #SingleCellRNAseq @OxfordJournals
Details:https://t.co/Q24UlskBzX

Very excited to announce I have been selected as a MICDE Fellow for the year 2023-24. The fellowship grant will help towards my project involving the development of a multi-omics sensor for Type 1 Diabetes Detection @UM_MICDE #singlecellRNASeq #Multiomics #AI
Four Bioinformatics workshops will be held by CPOS Bioinformatics Core.
#handsonworkshop #HKUCPOS #CPOS #HKUMed #HKU #connectwithus #sassoonroad #bioinformatics #Linux #HPCF #syntax #Python #Rstudio #singlecellRNAseq #PartekFlow

Come chat with Freja about the potential for groundbreaking discoveries! π¬
#Microbiology #SingleCellRNAseq #StaphylococcusAureus #ISSSI2024
Check the newest pre-print from
@DassanayakeLab and collaborators for comparative #transcriptomics of using #singlecellRNAseq on Diversification of gene expression across extremophytes and stress-sensitive species in the Brassicaceae
https://t.co/H0uncCe8jM
Check the newest pre-print from @DassanayakeLab and collaborators for comparative #transcriptomics of using #singlecellRNAseq on
Diversification of gene expression across extremophytes and stress-sensitive species in the Brassicaceae https://t.co/YFzxfRTJvr
RT please!
Iβm thrilled to share our latest preprint, now live on: https://t.co/gzHOlbEx0I Weβve created the HuPSA, MoPSA and ProAtlas datasets, revealing 2 novel double-negative PCa populations! Explore our web app: https://t.co/caF1onMdLy #ProstateCancer #SingleCellRNAseq #CancerResearch

6β£We would like to thank all those involved in this project from @sangerinstitute, @OfficialUoM, @CambridgeOrtho1, @Cambridge_Uni, and @humancellatlas. #Research #ChondrocyteDevelopment #RegenerativeMedicine #ScienceTwitter #SingleCellRNASeq #TissueEngineering #CartilageDevAtlas


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