gExcite – a start-to-end framework for single-cell gene expression, hashing, and antibody analysis
Recently, CITE-seq emerged as a multimodal single-cell technology capturing gene expression and surface protein information…
Recently, CITE-seq emerged as a multimodal single-cell technology capturing gene expression and surface protein information…
New transcriptome data sets clarifies the evolutionary relationships among orchids and reveals that the plant’s…
Researchers at Karolinska Institutet have developed a molecular method able to detect whether or not…
Glioblastomas (GBM) are aggressive brain tumors with extensive intratumoral heterogeneity that contributes to treatment resistance.…
Researchers at Colorado State University have developed tiny-count, a highly flexible counting tool that allows for…
The count table, a numeric matrix of genes × cells, is the basic input data…
Researchers at Children’s Hospital of Philadelphia (CHOP) and the University of California, Los Angeles (UCLA)…
Undoubtedly, single-cell RNA sequencing (scRNA-seq) has changed the research landscape by providing insights into heterogeneous,…
The main critical step in single-cell transcriptomics is sample preparation. Several methods have been developed…
Formalin-fixed paraffin-embedded (FFPE) tissues constitute a vast and valuable patient material bank for clinical history…