Comparison of 3' GEM-X and PIPseq V on human immune cells
收藏NIAID Data Ecosystem2026-05-02 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE291758
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资源简介：
Single cell technologies are rapidly evolving. Here, we benchmarked two state-of-the-art profiling techniques, 10x Genomics 3' GEMX and Illumina PIPseq V, for performance, including cell type ID and cluster inference. Our results provide insights into the future of single-cell technologies PBMCs from a healthy human donor were split and processed in parallel with two technologies for scRNA-seq, 3' GEM-X and PIPseq v5
创建时间：
2025-03-13
