Top Tweets for #SCRNASeq
5/5: SPAE provides a computational framework for investigating cell cycle dynamics, cellular states, and transcriptional heterogeneity in scRNA-seq data. Code available for non-commercial use: https://t.co/by1aFPJ4sh
#scRNAseq #CellCycle #ComputationalBiology
We built Cellxgene Explorer, an open-source app to explore and analyze Cellxgene datasets in seconds, with results at both the single-cell and patient/donor levels.
GitHub: https://t.co/qNBTHUlOyn
#SingleCellRNAseq #scRNAseq #Bioinformatics #ComputationalBiology #Cellxgene
New in Cell Systems: We benchmarked 4 #blastoid methods against a reference of >14,000 cells. Models differed substantially in fidelity, showing why we must know what each can reliably represent. https://t.co/VHScZGIIiu @CellPressNews @SydneyUni_Media #scRNAseq #
🧬 CCI for scRNA-seq dropout events. CCI achieves highest ARI, compactness, Jaccard index, and Spearman's correlation across clustering, DE analysis, and single-gene evaluation in all scenarios.
👉 https://t.co/Km6sUhb3ye
#ScRNAseq #Bioinformatics #SingleCellGenomics
🦴 First scRNA-seq comparison of ex vivo LV-BMP-2 gene therapy vs. rhBMP-2 in rat 6 mm critical-sized femoral defects. Gene therapy promotes endochondral ossification, favourable immunomodulation vs. rhBMP-2.
👉 https://t.co/dlPa1SarrH
#BoneRegeneration #GeneTherapy #ScRNAseq
High accuracy ≠ reliable.
Guangzheng show that single-cell foundation models can silently accept wrong cell-type predictions with high confidence and that recalibration with just 1–5 labeled donors fixes it. #scRNAseq
https://t.co/j4B5K6YRLx
An ~1.4-million-cell atlas reveals glaucoma extends beyond the eye. #scRNAseq links #POAG to immune remodeling and cell-specific genetic regulation, while TNF or IFNG deficiency worsens retinal ganglion cell loss. @UESTC1956
#STTT #OpenAccess: https://t.co/3QqBCRDPUw
Nerves don't just wire up muscle - they help build it. New in FaceBase: single-cell, bulk RNA-seq, and SeqFISH showing trigeminal nerve-derived GDF11 shaping soft palate muscle architecture. @CCMB_USC #craniofacial #scRNAseq #spatialtranscriptomics
https://t.co/UIzvcjOw7o
Introducing #scDRS-FM for #finemapping #polygenic disease associations across individual cells in #scRNAseq!
✅Distinguishes disease associations among closely related cell populations
✅Substantially higher power than #scDRS
https://t.co/20Vr18wElS
🧠New #SingleCell Package🧬
Proud to introduce Semi-Automated Hand Annotation (SAHA) for single cell and spatial datasets.
Privacy🔒, Speed⚡️, & decisions back in the hands of biologists!!🧑🔬👩🏽🔬👨🏿🔬👩🏼🔬
#bioinformatics #scRNAseq #omics
Semi-automated annotation refinement accelerates cell type identification in brain spatial and single-cell studies
https://t.co/owY1XllawY
This week, the #DukeMGC ran our 2500th #SingleCell sample 🎊🎉
More than 10 species and 100s of projects later and we still love generating high quality #scRNAseq data for our customers!
For more info on our single cell services, visit: https://t.co/CgLLUeAfpI
Tek hücre RNA dizileme analizinde doğru yazılımı doğru aşamada kullanmak, elde edeceğiniz biyolojik içgörünün kalitesini doğrudan belirler. Peki siz bu araçlardan hangisini en sık kullanıyorsunuz?
#bioinforange #singlecell #bioinformatics #scrnaseq #genomics
SCpubr is now peer-reviewed and published!
It is an R package that turns standard single-cell RNA-seq outputs in R into publication-ready figures with short function calls. On CRAN since 2022.
Have a look!
https://t.co/YkxntH6JiX
#scRNAseq #singlecell #bioinformatics #rstats
Overall, LKB1 deficiency rewires breast cancer in a subtype- and cell-type-specific way, thus reshaping hormone, immune, and metabolic programs.
Read our preprint https://t.co/xs5DClUaUk
#BreastCancer #LKB1 #STK11 #scRNAseq #TNBC #ScienceIsFun #ScienceSaves
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.🥹 🧬✨ #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
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