This tutorial shows how to obtain coordinates of genes, then input those coordinates into the Genome Browser for display. The regions do not have to be continuous in the genome.
This tutorial demonstrates the Multi-Region exon-only display mode of the UCSC Genome Browser.
This tutorial demonstrates viewing alternate haplotypes with the UCSC Genome Browser.
This tutorial demonstrates how to get the coordinates and sequences of exons using the UCSC Genome Browser.
This tutorial will demonstrate how to locate amino acid numbers for coding genes using the UCSC Genome Browser.
This tutorial will demonstrate how to find the tables in the UCSC database that are associated with the data tracks in the Genome Browser graphical viewer.
This tutorial shows how to navigate between exons of a gene using the UCSC Genome Browser.
This tutorial talks about how to upload and version your data in OpenNeuro.org
This tutorial shows how to share your data in OpenNeuro.org
This tutorial shows how to run analysis in OpenNeuro.org
An introduction to data management, manipulation, visualization, and analysis for neuroscience. Students will learn scientific programming in Python, and use this to work with example data from areas such as cognitive-behavioral research, single-cell recording, EEG, and structural and functional MRI. Basic signal processing techniques including filtering are covered. The course includes a Jupyter Notebook and video tutorials.
Research Resource Identifiers (RRIDs) are ID numbers assigned to help researchers cite key resources (antibodies, model organisms and software projects) in the biomedical literature to improve transparency of research methods.
This session will include presentations of infrastructure that embrace the FAIR principles developed by members of the INCF Community. This lecture provides an overview and demo of the Canadian Open Neuroscience Platform (CONP).
This video gives a short introduction to the EBRAINS data sharing platform, why it was developed, and how it contributes to open data sharing.
This video introduces the key principles for data organisation and explains how you could make your data FAIR for data sharing on EBRAINS.
This video introduces the importance of writing a Data Descriptor to accompany your dataset on EBRAINS. It gives concrete examples on what information to include and highlights how this makes your data more FAIR.
This video demonstrates how to find, access, and download data on EBRAINS.
KnowledgeSpace (KS) is a data discoverability portal and neuroscience encyclopedia that was developed to make it easier for the neuroscience community to find publicly available datasets that adhere to the FAIR Principles and to provide an integrated view of neuroscience concepts found in Wikipedia and NeuroLex linked with PubMed and 17 of the world's leading neuroscience repositories. In short, KS provides a single point of entry where reseaerchers can search for a neuroscience concept of interest and receive results that include: i. a description of the term found in Wikipedia/NeuroLex, ii. links to publicly available datasets related to the concept of interest, and iii. up-to-date references that support the concept of interests found in PubMed. APIs are available so that developers of other neuroscience research infrastructures can integrate KS components in their infrastructures. If your repository or your favorite repository is not indexed in KS, please contact us.