Thanks to Dr. Yang Bai, @10xGenomics and @illumina for organizing a fun & informative #singlecell symposium @rpi yesterday, including talks by 3 excellent #WomenInSTEM: SUNY's Melinda Larsen, RPI's Elizabeth Blaber, and our own Taylor Bertucci.
#scRNAseq #scATACseq
@RPIcbis
#singlecell #womeninSTEM #scrnaseq #scatacseq
Anyone know a good review paper / learning resource for building gene regulatory networks #GRN from #scATACseq #ATACseq and/or #scRNAseq data?
Thanks!
#GRN #scatacseq #atacseq #scrnaseq
CellOracle builds context-specific #GeneRegulatoryNetworks from combined #scRNAseq #scATACseq data.
Tweetorial from @morris_lab@twitter.com here:
https://twitter.com/morris_lab/status/1623354686630764552?t=EnoMEjFSG-dnY5J_i-NMAg&s=19
#generegulatorynetworks #scrnaseq #scatacseq
A new multiomics study from Satija Rahul's lab identified a unique population of CD8+ T cells after COVID-19 vaccination. These cells are the SARS-CoV-2 antigen specific and capable of rapid clonal expansion. The relative frequency and differentiation of these cells can predict clinical outcomes for COVID-19 patients. #covid #multiomics #scRNAseq #scATACseq #CITEseq #ASAPseq #TCR
https://www.biorxiv.org/content/10.1101/2023.01.24.525203v1
#covid #multiomics #scrnaseq #scatacseq #citeseq #asapseq #tcr
scFates: a python package for pseudotime analysis from single cell data #scRNAseq #scATACseq #bioinformatics #python
https://academic.oup.com/bioinformatics/advance-article/doi/10.1093/bioinformatics/btac746/6832042
#scrnaseq #scatacseq #bioinformatics #python
SComatic: a new #singlecell tool to detect somatic mutation from #scRNAseq #scATACseq data
https://www.biorxiv.org/content/10.1101/2022.11.22.517567v1
#singlecell #scrnaseq #scatacseq
Single cell best practices from Theis lab, a free online book that guides you through every detail of the single cell analysis. #scRNAseq #scATACseq
https://www.sc-best-practices.org/preamble.html
scFates: a python package for pseudotime analysis from single cell data #scRNAseq #scATACseq #bioinformatics #python
https://academic.oup.com/bioinformatics/advance-article/doi/10.1093/bioinformatics/btac746/6832042
#scrnaseq #scatacseq #bioinformatics #python