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Our first
#scATACseq paper was released in@naturebiotech. The study, done w/ researchers at@howardchang at@StanfordMed &@parkerici analyzed tumor biopsies from patients w/ basal cell carcinoma before & after PD-1 blockade immunotherapy. https://bit.ly/31a4dVN@Satpathology -
#scATACseq and@10xgenomics are growing in popularityhttp://bit.ly/scellmarket -
Single-cell ATAC-seq with massive throughput. An awesome collaboration with
@BioRadGenomics+Ron Lebofsky and our Harvard team@CalebLareau@fabianamduarte. Opens up a ton of new and exciting directions!#scATACseq https://www.biorxiv.org/content/10.1101/612713v1 …Prikaži ovu nit -
If you missed our ATAC-seq webinar it is now available on demand. In this webinar, 10x-perts walked through everything you need to know about
#scATACseq, including a live demonstration of data visualization with our Loupe Cell Browser. Watch now: https://bit.ly/2YpAv1b pic.twitter.com/mM15pjDYyx
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SNARE-seq jointly profiles
#scRNAseq and#scATACseq in the same cell@NatureBiotechhttps://www.nature.com/articles/s41587-019-0290-0 … -
Our work with
@BioRadGenomics+Ron Lebofsky and our Harvard team@CalebLareau@fabianamduarte is out! Read to hear about#scATACseq at massive scale: https://www.nature.com/articles/s41587-019-0147-6 … -
This was a great event, highly recommended resource!!
#scRNAseq#scATACseq#genomics#NGS#Seurathttps://twitter.com/satijalab/status/1222901738736275458 … -
Multiomic projection of MPALs into hematopoiesis identifies normal and leukemic programs. Ref: http://go.nature.com/2RWEWvr
#singlecell#multiomic#scRNAseq#scATACseq pic.twitter.com/YJNZ5oYVlc
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Single-cell multiomic analysis identifies regulatory programs in mixed-phenotype acute leukemia. Ref: https://go.nature.com/2RWEWvr
#singlecell#multiomic#scRNAseq#scATACseq pic.twitter.com/iRAA2YWQGO
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NIGHTMARE AFTER XMAS! SORRY/HAPPY to present our benchmarking work on
#singlecell sample preservation artifacts. We detected strong systematic biases related to sampling timing! MUST-READ for#scRNAseq and#scATACseq of#biobank and clinical cohorts.https://www.biorxiv.org/content/10.1101/2020.01.15.897066v1 … -
What is
#ATACseq and#scATACSeq? All you need to know in one@illumina website page.#sequencing#Genomics https://sapac.illumina.com/techniques/popular-applications/epigenetics/atac-seq-chromatin-accessibility.html?langsel=/au/ … -
I’m delighted to receive the
#SCGP grant of@10xGenomics at@NCCTuebingen , thank you for this great support.#scRNAseq#scATACseq#parkinsonsdiseasehttps://twitter.com/10xGenomics/status/1205086164656504832 … -
NOW AVAILABLE: Single-cell
#ATACSeq service! Uncover open#chromatin profiles in your complex samples at#SingleCell resolution with our end-to-end#scATACSeq service. http://bit.ly/2t5H2QS#epigeneticspic.twitter.com/RwkNebc1Py
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It’s time for
#ATACseq. Come check out our collaboration with@BioRad to bring#scATACseq service to#Hematology community. Characterize specific sub cell-type populations. Visit booth 1367 at#ASH19pic.twitter.com/Z0bAZpVY45
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We’re at the
#TMM2019. Come and say hello. And ask us how@10xGenomics technology can help you trace stem cell generation#scATACseq#scRNAseq@CCRM_capic.twitter.com/m8VWALyqwR
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You can hear Dr. Josh Lee (who wrote the Shiny App below) speak at WEHI this morning about
#scRNAseq#scATACseq and#malaria-specific CD4+ T cell memory as part of#malariamelb19.@WEHI_Postdocs@WEHI_research@uommedia@VicCompCancerCr@LGMartelotto@TheDohertyInst@UniMelbMDHShttps://twitter.com/DrAshHaque/status/1143502210472407040 …
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Combining
#scRNAseq and#scATACseq in a spatial virtual map!@steinaerts#multiomics@VIBLifeSciences@CBD_VIB#BrainMosaic19pic.twitter.com/hqXdrmhQ02
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Into computational challenges?
@steinaerts lab captured more than 10 billion individual data points using#scRNAseq and#scATACseq!#multiomics#SingleCell#BrainMosaic19@vib_ccb@VIBLifeSciences pic.twitter.com/jhEJ25PWtU
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Thanks to
@10xGenomics for the initiative!#scRNAseq#scATACseq#brainmetastaseshttps://twitter.com/NeuroAlc/status/1172207608322822144 … -
This very popular webinar is now available on-demand. Hear guest speaker
@satijalab of@nygenome discuss Seurat v3, a software that addresses challenges of integrating different data types (#scRNAseq,#scATACseq,#spatial). https://bit.ly/2YAW4rX pic.twitter.com/ArDfPmm4iS
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