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bioRxiv · 10.1101/664789

Single Cell Viewer (SCV): An interactive visualization data portal for single cell RNA sequence data

Ravi, K.·Neuhaus, I.·Wang, S.·Brett, C.·Bolisetty, M.·Golhar, R.
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Abstract

MotivationThanks to technological advances made in the last few years, we are now able to study transcriptomes from thousands of single cells. These have been applied widely to study various aspects of Biology. Nevertheless, comprehending and inferring meaningful biological insights from these large datasets is still a challenge. Although tools are being developed to deal with the data complexity and data volume, we do not have yet an effective visualizations and comparative analysis tools to realize the full value of these datasets.\n\nResultsIn order to address this gap, we implemented a single cell data visualization portal called Single Cell Viewer (SCV). SCV is an R shiny application that offers users rich visualization and exploratory data analysis options for single cell datasets.\n\nAvailabilitySource code for the application is available online at GitHub (http://www.github.com/neuhausi/single-cell-viewer) and there is a hosted exploration application using the same example dataset as this publication at http://periscopeapps.org/scv_tirosh.\n\nContactisaac.neuhaus@bms.com; kandasamy.ravi@bms.com

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Ravi, K., Neuhaus, I., Wang, S., Brett, C., Bolisetty, M., Golhar, R.. 2019-06-12. Single Cell Viewer (SCV): An interactive visualization data portal for single cell RNA sequence data. https://doi.org/10.1101/664789

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