Workshop: Analyzing and visualizing single-cell genomics data from the BRAIN Initiative with the Neuroscience Multi-Omic Archive and NeMO Analytics

Description

Single-cell genomics is rapidly transforming our understanding of cell types and cell states. The Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative Cell Census Network (BICCN) is an NIH-funded consortium, which aims to map all of the cell types in the mammalian brain. Researchers within BICCN have sequenced the transcriptomes and epigenomes of >10 million cells from the brains of humans, non-human primates, and mice.

In this interactive workshop, we will introduce participants to tools for accessing, analyzing, and visualizing BICCN data using the Neuroscience Multi-Omic Archive (NeMO Archive) and NeMO Analytics. The NeMO Archive serves as the primary repository for genomics data from the BRAIN Initiative, while NeMO Analytics is a web-based, biologist-friendly visualization and analysis portal for BICCN data.

Participants will learn how to find BICCN data in the NeMO Archive and perform high-throughput data processing in the BICCN Cloud-Computing Environment (powered by Terra, terra.bio); interact with BICCN data at NeMO Analytics and use the gEAR software underlying NeMO Analytics to create publication-ready visualization portals from their own data.