Neurobiology Division, MRC Laboratory of Molecular Biology, Cambridge, United Kingdom; Drosophila Connectomics Group, Department of Zoology, University of Cambridge, Cambridge, United Kingdom
Neurobiology Division, MRC Laboratory of Molecular Biology, Cambridge, United Kingdom; Drosophila Connectomics Group, Department of Zoology, University of Cambridge, Cambridge, United Kingdom
Torsten Rohlfing
SRI International, Neuroscience Program, Center for Health Sciences, Menlo Park, United States
Neurobiology Division, MRC Laboratory of Molecular Biology, Cambridge, United Kingdom; Drosophila Connectomics Group, Department of Zoology, University of Cambridge, Cambridge, United Kingdom
To analyse neuron data at scale, neuroscientists expend substantial effort reading documentation, installing dependencies and moving between analysis and visualisation environments. To facilitate this, we have developed a suite of interoperable open-source R packages called the natverse. The natverse allows users to read local and remote data, perform popular analyses including visualisation and clustering and graph-theoretic analysis of neuronal branching. Unlike most tools, the natverse enables comparison across many neurons of morphology and connectivity after imaging or co-registration within a common template space. The natverse also enables transformations between different template spaces and imaging modalities. We demonstrate tools that integrate the vast majority of Drosophila neuroanatomical light microscopy and electron microscopy connectomic datasets. The natverse is an easy-to-use environment for neuroscientists to solve complex, large-scale analysis challenges as well as an open platform to create new code and packages to share with the community.