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

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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.


Seth Ament, PhD

Associate Professor

Department of Psychiatry, Institute for Genome Sciences, and Maryland Psychiatric Research Center at the University of Maryland School of Medicine

Dr. Ament is an Associate Professor in the Department of Psychiatry, Institute for Genome Sciences, and Maryland Psychiatric Research Center at the University of Maryland School of Medicine. His research aims to characterize the development and diversity of cell types in the human brain and their perturbation in brain disorders using single-cell genomics and related technologies.

Ronna Hertzano, MD, PhD

Professor

Department of Otorhinolaryngology-Head & Neck Surgery at the University of Maryland School of Medicine

Ronna Hertzano, MD, PhD. Dr. Hertzano is an Associate Professor in the Department of Otorhinolaryngology-Head & Neck Surgery at the University of Maryland School of Medicine. A surgeon-scientist, her clinical practice focuses on the diagnosis and treatment of diseases of the ear, while her research characterizes regulatory signaling cascades in the developing ear. Several years ago, Dr. Hertzano realized that the lack of intuitive tools for the non-informatics trained biologists for visualization and analysis of omics data presents a major barrier to effective dissemination, sharing and analysis of expression data by cellular and molecular biologists. This led to the inception and development of the gEAR (umgear.org), a web platform for the visualization and analysis of transcriptomic and epigenomic data from the inner ear, and subsequently to the development of NeMO Analytics.

Joshua Orvis

Bioinformatics Software Engineer

Institute for Genome Sciences at the University of Maryland School of Medicine

Mr. Orvis is a Bioinformatics Software Engineer in the Institute for Genome Sciences at the University of Maryland School of Medicine. He is the lead developer of the gEAR software that powers NeMO Analytics.

Brian Herb, PhD

Bioinformatics Software Engineer

Institute for Genome Sciences at the University of Maryland School of Medicine

Dr. Herb is a Bioinformatics Software Engineer in the Institute for Genome Sciences. He contributes to the development of scalable, data analysis pipelines that are being used in the analysis of massive single-cell genomics datasets from the BRAIN Initiative and other consortia.

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Introduction
09/22/2021 at 12:00 PM (EDT)  |  Recorded On: 09/22/2021
09/22/2021 at 12:00 PM (EDT)  |  Recorded On: 09/22/2021
You must register to access.
Exploring the NeMO Analytics Environment
Open to view video.
Open to view video. The NeMO Analytics portal provides interactive visualization and analysis tools for a large collection of datasets from the BRAIN Initiative Cell Census Network and related projects. This session will be geared towards the user that comes to nemo analytics to learn about specific datasets. We will review specific datasets and profiles and walk through examples of the visualization and analysis tools.
You must register to access.
Building Publication-Ready Web Visualizations with Your Own Data
Open to view video.
Open to view video. NeMO Analytics makes it straightforward for users to create interactive web profiles from their own data, suitable as companion websites for publications and other presentations. We will review the process of uploading transcriptomic and epigenomic data types, creating plots, and assembling collections of datasets into public profiles.
You must register to access.
NeMO Archive and the BRAIN Initiative Cloud Computing Platform
Open to view video.
Open to view video. This session is geared toward the user that wants to perform large-scale analyses with BICCN data. We will review the NeMO Archive data portal and tools to perform cloud-based analyses on these data with Terra.
You must register to access.