Comparison of transformations for single-cell RNA-seq data
The count table, a numeric matrix of genes × cells, is the basic input data…
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New computational tool identifies novel targets for cancer immunotherapy from RNA sequencing data
Researchers at Children’s Hospital of Philadelphia (CHOP) and the University of California, Los Angeles (UCLA)…
scAnno – a deconvolution strategy-based automatic cell type annotation tool for single-cell RNA-sequencing data sets
Undoubtedly, single-cell RNA sequencing (scRNA-seq) has changed the research landscape by providing insights into heterogeneous,…
Methanol fixation is the method of choice for droplet-based single-cell transcriptomics of neural cells
The main critical step in single-cell transcriptomics is sample preparation. Several methods have been developed…
snRandom-seq – droplet-based single nucleus RNA sequencing for FFPE tissues by random primer capture
Formalin-fixed paraffin-embedded (FFPE) tissues constitute a vast and valuable patient material bank for clinical history…
Direct RNA Sequencing and FLAM-seq reveal the site of transcription start often determines the site of transcription end
Each gene in our DNA has a beginning and an end. Defining the gene’s extremities…
Single-cell transcriptomic analysis uncovers diverse and dynamic senescent cell populations
Senescence is a state of enduring growth arrest triggered by sublethal cell damage. Given that…
HIT-scISOseq – high-throughput and high-accuracy single-cell RNA isoform analysis using PacBio circular consensus sequencing
Although long-read single-cell RNA isoform sequencing (scISO-Seq) can reveal alternative RNA splicing in individual cells,…
PSCSR-seq – parallel single-cell small RNA sequencing
miRNA and other forms of small RNAs are known to regulate many biological processes. Single-cell…
scSELpy – manual cell selection in single cell transcriptomics for analysis of immune cell subsets
Single cell RNA sequencing plays an increasing and indispensable role in immunological research such as…