INCF SIG on Neuroinformatics for cell types
This SIG will coordinate common efforts for defining and describing cell types across neuroscience, to reduce duplicate efforts and to improve interoperability and reuse of cell type-specific data collected across groups.
UC San Diego, US
University of British Columbia, Vancouver, Canada
UC San Diego, US
About this SIG
The Neuroinformatics for Cell Types SIG will coordinate common efforts for defining and describing cell types across neuroscience. A key focus is facilitating interactions between groups collecting large-scale datasets used to define novel cell types (such as single-cell transcriptomics) and ontologists and tool developers who have considerable experience curating cell type-specific data. Given the widespread interest in cell type classification, our goal is to reduce duplicate efforts and to improve interoperability and reuse of cell type-specific data collected across groups.
Goals and Outcomes
The goal of the SIG is to provide a venue for the open and inclusive development of shared terminologies for describing cell types in neuroscience. The group will develop best practices for defining new cell types based on novel measurement techniques. We will compile various cell type use cases and work to connect them to existing and newly developed ontological tools. We will also make suggestions for how shared terminologies can be used to guide experiments for bridging between cell types defined by orthogonal modalities. The output of the SIG will be white papers outlining the group’s discussions and recommendations.
SIG meeting in Kuala Lumpur, August 22, in conjunction with Neuroinformatics 2017.
Workplan for INCF SIG Meeting in Malaysia
- Presentation of cell type use cases from groups collecting relevant experimental datasets
- Presentation of existing cell type terminologies and ontologies by neuroinformaticists and developers
- Discuss how existing tools can meet the described use cases and/or how tools need to be extended
- Discuss plans for continued development following the INCF meeting
NeuroElectro/NeuroExpresso (Paul Pavlidis, Shreejoy Tripathy)