SiT – spatial isoform transcriptomics
In situ capturing technologies add tissue context to gene expression data, with the potential of…
Browsing: Publications
Analysis of single-cell rna-seq data
As single-cell RNA sequencing experiments continue to advance scientific discoveries across biological disciplines, an increasing…
AllenDigger – spatial expression data visualization, spatial heterogeneity delineation, and single-cell registration based on the Allen Brain Atlas
Spatial transcriptomics can be used to capture cellular spatial organization and has facilitated new insights…
Spatial epigenome–transcriptome co-profiling of mammalian tissues
Emerging spatial technologies, including spatial transcriptomics and spatial epigenomics, are becoming powerful tools for profiling…
A protocol for single nucleus RNA-seq from frozen skeletal muscle
Single-cell technologies are a method of choice to obtain vast amounts of cell-specific transcriptional information…
Single-nucleus transcriptomics reveals new understanding of how androgen therapy affects breast tissue
Insights from the study of transgender men undergoing androgen therapy may help scientists learn how…
The power of scRNA-seq in guiding the development of CAR-T cell therapy
Acute myeloid leukemia (AML) is a type of cancer that affects the bone marrow and…
scAnnotate – an automated cell type annotation tool for single-cell RNA-sequencing data
Single-cell RNA-sequencing (scRNA-seq) technology enables researchers to investigate a genome at the cellular level with…
Blocking abundant RNA transcripts by high-affinity oligonucleotides during transcriptome library preparation
RNA sequencing has become the gold standard for transcriptome analysis but has an inherent limitation…
PIP-seq – microfluidics-free single-cell genomics with templated emulsification
Current single-cell RNA-sequencing approaches have limitations that stem from the microfluidic devices or fluid handling…