Top Tweets for #Slideseq
This equivalence is nice, you know exactly what you are detecting and reporting. So, go ahead and apply niche-DE to #10xGenomics #Visium, #Stereoseq, and #slideseq data! 8/9
#spacexr (advanced ver #RTCD)
Cell type-specific inference of differential expression/C-SIDE
https://t.co/yDpCPbJNIq
Requiring annotated single-cell reference
Work with #Visium #Slideseq #MERFISH
For #Visium data, "skipping segmentation did not substantially change C-SIDE DE estimates & reduced C-SIDE uncertainty due to an inclusion of more counts that would be discarded during segmentation."
Even for "MERFISH, we detected some pixels with cell type mixtures"
@naturemethods 2022
https://t.co/aFtkGTQlTZ

🚨PREPRINT ALERT🚨
Systematic comparison of sequencing-based spatial transcriptomic methods🫶
#ST #benchmark #Visium #HDST #BMKMANUS1000 #SlideSeq #StereoSeq #PIXELSeq #DBiTseq
👉https://t.co/6iQQVJltDU

Slide-Seq Hits the #SpatialBiology Market as Curio Seeker
The #spatial technology developed by Fei Chen, Evan Macosko, and Sam Rodriques—known as #Slideseq—is now commercially available as the @curiobio Seeker. Learn more: https://t.co/b12mrpt6eE

A study created a map of most glomerular positions in the mouse olfactory bulb using transcriptional profiles of olfactory sensory neurons.
https://t.co/TsbBOIxXNT
Fantastic work @IHaoWang1, and colleagues!
@NatureNeuro
#scRNAseq #Slideseq #transcriptomics

Excited to share our paper published in @NatureNeuro. With #scRNAseq, machine learning, and #Slideseq, we were able to reconstruct the mouse olfactory glomerular map and explore the potential mechanism of how this map is formed.
@UMassChan
@ProgMolMed
https://t.co/E74gtYqVvt
Excited to announce our latest work in the @KjwonL Lab! We study cell contact-dependent gene expression using the transcriptome of spatial beads composed of multiple cell types.
https://t.co/9tyWSxLA9Z
#SpatialTranscriptomics #SlideSeq #CellContact #CellCellInteractions

Vesalius performs tissue anatomization from spatial transcriptomics data. It features detection of tissue territory and anatomy associated genes. By @pcnmartin #transcriptomics #HDST #SlideSeq
https://t.co/ak8JTXGNHz

#Slideseq | A scalable technology for #high_spatial_resolution RNA capture from tissue | Evan Macosko @broadinstitute @MIT @sciencemagazine https://t.co/B3KIMQHaC8 | #2019_Mar_Recap

La rubrique « Chroniques génomiques » de Bertrand Jordan est consacrée à la technique « #slideseq », une puissante méthode d’analyse de l’expression des #gènes sur coupes de tissus, avec une résolution quasi-#cellulaire.
https://t.co/7qax2F5cKE

A GPS-like System for Single-Cell Analysis - publ. in @sciencemagazine: unveils another exciting creation called #Slideseq for mapping the exact location of each of the thousands of individual cells undergoing genomic analysis in a tissue sample.
https://t.co/t2o9HbNNoc
"Single-cell visualization techniques are taking the research community by storm." Our VP of Biology Tarjei Mikkelsen tells @nature how 10x is helping lead the way in this rapidly growing area. https://t.co/XiWEAXe62A #SingleCell #SlideSeq

#Slideseq | A scalable technology for #high_spatial_resolution RNA capture from tissue | Evan Macosko @broadinstitute @MIT @sciencemagazine https://t.co/SHiXUneYz5 | #Mar_ReCap

##slideseq seems an awesome tool for biologists who compromised spatial resolution at the cost of throughput.
Slide-seq: A scalable technology for measuring genome-wide expression at high spatial resolution
@MIT @broadinstitute @___SDB___ https://t.co/Eyxt3TBzGA
Slide-seq: A scalable technology for measuring genome-wide expression at high spatial resolution | Incredible technology, beautiful 3D images! #SingleCell #SlideSeq https://t.co/ExaYceJkF8
#Slideseq | A scalable technology for #high_spatial_resolution RNA capture from tissue | Evan Macosko @broadinstitute @MIT @sciencemagazine https://t.co/SHiXUneYz5

Yasss to this #SlideSeq . I hope something I want to achieve gets fulfilled by this amazing #technology . Looks super cool. Then again I know #science can always make me dig my own pit. still hopeful! #spatialtranscirptomics #RNASeq #histology #transcriptomics #biology
#SlideSeq uses sequencing to build detailed tissue maps without need for a microscope; shows numerous cell types and patterns of gene expression https://t.co/qkOzbEPXtp
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