Single-cell technologies, particularly single-cell RNA sequencing (scRNA-seq) methods,
together with associated computational tools and the growing availability of public data …

Single‐cell RNA sequencing (scRNA‐seq) technology has become the state‐of‐the‐art
approach for unravelling the heterogeneity and complexity of RNA transcripts within …

Despite the emergence of experimental methods for simultaneous measurement of multiple
omics modalities in single cells, most single-cell datasets include only one modality. A major …

Molecular characterization of cell types using single-cell transcriptome sequencing is
revolutionizing cell biology and enabling new insights into the physiology of human organs …

HTSeq 2.0 provides a more extensive application programming interface including a new
representation for sparse genomic data, enhancements for htseq-count to suit single-cell …

The APOE4 allele is the strongest genetic risk factor for late-onset Alzheimer's disease (AD).
The contribution of microglial APOE4 to AD pathogenesis is unknown, although APOE has …

Immune responses to cancer are highly variable, with mismatch repair-deficient (MMRd)
tumors exhibiting more anti-tumor immunity than mismatch repair-proficient (MMRp) tumors …

For more than 100 years, the fruit fly Drosophila melanogaster has been one of the most
studied model organisms. Here, we present a single-cell atlas of the adult fly, Tabula …

Single-cell transcriptomics (scRNA-seq) has greatly advanced our ability to characterize
cellular heterogeneity. However, scRNA-seq requires lysing cells, which impedes further …

Non-small cell lung cancer (NSCLC) is characterized by molecular heterogeneity with
diverse immune cell infiltration patterns, which has been linked to therapy sensitivity and …