Large-scale single-cell ‘omics profiling is being used to define a complete catalogue of brain cell types, something that traditional methods struggle with due to the diversity and complexity of the brain. But this poses a problem: How do we organise such a catalogue - providing a standard way to refer to the cell types discovered, linking their classification and properties to supporting data? Cell ontologies provide a partial solution to these problems, but no existing ontology schemas support the definition of cell types by direct reference to supporting data, classification of cell types using classifications derived directly from data, or links from cell types to marker sets along with confidence scores. Here we describe a generally applicable schema that solves these problems and its application in a semi-automated pipeline to build a data-linked extension to the Cell Ontology representing cell types in the Primary Motor Cortex of humans, mice and marmosets. The methods and resulting ontology are designed to be scalable and applicable to similar whole-brain atlases currently in preparation.

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Network security is critical for organizations to secure their network resources from intrusion and attacks. A security policy is a rule enforced in the network to allow or block network traffic. To write security policies, network analysts divide their networks into segments or parts with similar security needs. Segmentation makes writing security policies manageable and identifies robust security policies for the network. Visualizations can help analysts to understand the segmented network and define security policies. We contribute Portola, a hybrid tree and network visualization technique to display a segmented computer network. Portola presents an overview of the segmentation as a hierarchy and displays connections within the network. Using Portola, analysts can explore a segmented network, identify nodes and connections of interest through exploratory network analysis, and drill down on elements of interest to reason about the patterns of relationships in the network. Through this work, we also discuss the goals of network analysts who work with segmented networks and discuss the lessons learned from the user-centered iterative design of Portola.