10x Genomics: 20k Human PBMCs is the dataset.
Description of the dataset:
Inputs/Libraries Human peripheral blood mononuclear cells (PBMCs) of a healthy male donor aged 30-35 were obtained by 10x Genomics from AllCells.
Gene expression and V(D)J libraries were generated from ~33,000 cells (18,470 cells recovered) as described in the Chromium Next GEM Single Cell 5' HT Reagent Kits v2 User Guide (CG000421) using the Chromium and sequenced on an Illumina NovaSeq 6000 to a read depth of approximately 25,000 mean reads per cell for Gene Expression, 15,000 mean reads per cell for TCR Amplified, and 25,000 mean reads per cell for BCR Amplified libraries.
Paired-end, dual indexing
Read 1: 26 cycles (16 bp barcode, 10 bp UMI)
i5 index: 10 cycles (sample index)
i7 index: 10 cycles (sample index)
Read 2: 90 cycles (transcript)
This is the RPubs Link for the Single Cell Analysis work I've performed on it.
Can someone confirm that I can do both Single-Cell RNA Seq Analysis AND Differential Gene Expression Analysis?
I know that Expression Analysis comes from having a control and a treatment group. I honestly don't know anything about bioinformatics but I'm diving into the fire to get a solid understanding once I've coded everything.
Thank you guys.