Single-cell RNA-sequencing (scRNA-seq) has become a widely used tool for both basic and translational biomedical research. In scRNA-seq data analysis, cell type annotation is an essential but challenging step...
Read More »CellSTAR – a comprehensive resource for single-cell transcriptomic annotation
Large-scale studies of single-cell sequencing and biological experiments have successfully revealed expression patterns that distinguish different cell...
Read More »How to build a cellular map of the musculoskeletal system
A single-cell resolution atlas of the human musculoskeletal system could be transformative to understanding and treating conditions including arthritis, cancer and fractures. To generate a single...
Read More »Single-nuclei characterization of pervasive transcriptional signatures across organs in response to COVID-19
Infection by coronavirus SARS-CoV2 is a severe and often deadly disease that has implications for the respiratory system and multiple organs across the human body. While the effects in the lung have...
Read More »Demystifying Single-Cell Spatial Biology with CosMx SMI
CosMx™ Spatial Molecular Imager (SMI) data is flat-out awe-inspiring: even a perfunctory analysis of a single run produces a terabyte of data, gorgeous images (see below), and spatial relationships...
Read More »BENGAL – benchmarking strategies for cross-species integration of single-cell RNA sequencing data
The growing number of available single-cell gene expression datasets from different species creates opportunities to explore evolutionary relationships between cell types across species. Cross-species integration of single-cell RNA-sequencing data has been particularly informative in this context. However, in order to ...
Read More »GCFG – combining global-constrained concept factorization and a regularized gaussian graphical model for clustering single-cell RNA-Seq data
Single-cell RNA sequencing technology is one of the most cost-effective ways to uncover transcriptomic heterogeneity. With the rapid rise of this technology...
Read More »The Human Breast Cell Atlas – world’s most comprehensive single-cell atlas of healthy breast tissue
The Human Breast Cell Atlas, recently published in Nature, is a landmark achievement for mammary biology as the world’s most comprehensive atlas of healthy breast tissue. The current “atlas era” of cell biology represents a marked shift in the field. Whereas ...
Read More »Population-level integration of single-cell datasets enables multi-scale analysis across samples
The increasing amount of data recorded in medical research can only lead to scientific breakthroughs and essential therapies for patients if interpreted...
Read More »DAESC – differential allelic expression using single-cell data
Differential allele-specific expression (ASE) is a powerful tool to study context-specific cis-regulation of gene expression. Such effects can reflect the interaction between genetic or epigenetic factors...
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