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The natverse, a versatile toolbox for combining and analysing neuroanatomical data
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 natvers...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7242028/ https://www.ncbi.nlm.nih.gov/pubmed/32286229 http://dx.doi.org/10.7554/eLife.53350 |
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author | Bates, Alexander Shakeel Manton, James D Jagannathan, Sridhar R Costa, Marta Schlegel, Philipp Rohlfing, Torsten Jefferis, Gregory SXE |
author_facet | Bates, Alexander Shakeel Manton, James D Jagannathan, Sridhar R Costa, Marta Schlegel, Philipp Rohlfing, Torsten Jefferis, Gregory SXE |
author_sort | Bates, Alexander Shakeel |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7242028 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-72420282020-05-26 The natverse, a versatile toolbox for combining and analysing neuroanatomical data Bates, Alexander Shakeel Manton, James D Jagannathan, Sridhar R Costa, Marta Schlegel, Philipp Rohlfing, Torsten Jefferis, Gregory SXE eLife Computational and Systems Biology 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. eLife Sciences Publications, Ltd 2020-04-14 /pmc/articles/PMC7242028/ /pubmed/32286229 http://dx.doi.org/10.7554/eLife.53350 Text en © 2020, Bates et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Computational and Systems Biology Bates, Alexander Shakeel Manton, James D Jagannathan, Sridhar R Costa, Marta Schlegel, Philipp Rohlfing, Torsten Jefferis, Gregory SXE The natverse, a versatile toolbox for combining and analysing neuroanatomical data |
title | The natverse, a versatile toolbox for combining and analysing neuroanatomical data |
title_full | The natverse, a versatile toolbox for combining and analysing neuroanatomical data |
title_fullStr | The natverse, a versatile toolbox for combining and analysing neuroanatomical data |
title_full_unstemmed | The natverse, a versatile toolbox for combining and analysing neuroanatomical data |
title_short | The natverse, a versatile toolbox for combining and analysing neuroanatomical data |
title_sort | natverse, a versatile toolbox for combining and analysing neuroanatomical data |
topic | Computational and Systems Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7242028/ https://www.ncbi.nlm.nih.gov/pubmed/32286229 http://dx.doi.org/10.7554/eLife.53350 |
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