Single-cell RNA sequencing (scRNA-seq) allows researchers to collect large catalogues
detailing the transcriptomes of individual cells. Unsupervised clustering is of central …

Single-cell sequencing technologies, including transcriptomic and epigenomic assays, are
transforming our understanding of the cellular building blocks of neural circuits. By directly …

Joint profiling of chromatin accessibility and gene expression in individual cells provides an
opportunity to decipher enhancer-driven gene regulatory networks (GRNs). Here we present …

FlyBase provides a centralized resource for the genetic and genomic data of Drosophila
melanogaster. As FlyBase enters our fourth decade of service to the research community …

Brains contain networks of interconnected neurons and so knowing the network architecture
is essential for understanding brain function. We therefore mapped the synaptic-resolution …

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 …

Gene expression profiling has identified numerous processes altered in aging, but how
these changes arise is largely unknown. Here we combined nascent RNA sequencing and …

This protocol explains how to perform a fast SCENIC analysis alongside standard best
practices steps on single-cell RNA-sequencing data using software containers and Nextflow …

The stromal compartment of the tumor microenvironment consists of a heterogeneous set of
tissue-resident and tumor-infiltrating cells, which are profoundly moulded by cancer cells. An …

The mammalian brain is complex, with multiple cell types performing a variety of diverse
functions, but exactly how each cell type is affected in aging remains largely unknown. Here …