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Minuteman – A versatile cloud computational platform for collaborative research

Xinkai Li, Joydeep Charkaborty, Michael Jameson, Hobert Moore, Alexis Laux-Biehlmann, View ORCID ProfileSikander Hayat, Dhawal Jain
doi: https://doi.org/10.1101/2023.01.21.514916
Xinkai Li
1Data Integration and Historians Services, Enterprise Platforms and Infrastructure, Bayer US LLC., Pittsburgh, PA
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Joydeep Charkaborty
2Product Platform Research, Enterprise Platforms and Infrastructure, Bayer US LLC., Morristown, NJ
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Michael Jameson
1Data Integration and Historians Services, Enterprise Platforms and Infrastructure, Bayer US LLC., Pittsburgh, PA
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Hobert Moore
3Infrastructure Engineering Services, Enterprise Platforms and Infrastructure, Bayer US LLC., Morristown, NJ
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Alexis Laux-Biehlmann
4Pulmonary Drug Discovery Laboratory, Bayer US LLC. Pharmaceuticals, Research & Development, Boston, MA
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Sikander Hayat
5Precision Cardiology Laboratory, Bayer US LLC. Pharmaceuticals, Research & Development, Boston, MA
6Institute of Experimental Medicine and Systems Biology, Uniklinik RWTH Aachen, Germany
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  • For correspondence: hayat221@gmail.com
Dhawal Jain
4Pulmonary Drug Discovery Laboratory, Bayer US LLC. Pharmaceuticals, Research & Development, Boston, MA
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  • For correspondence: hayat221@gmail.com
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Abstract

Secure platforms for bio-computation are critical to foster increasingly complex and data-intensive collaborations involving biomedical data. Here, we present Minuteman – an open-source cloud computing platform that can be securely used across organizations. Minuteman can be used for hosting data sources and running computational pipelines in an organized way. The platform consists of three fundamental features, 1) data operations including collaborative data processing and analytics, 2) customizable user access management for secure dissemination of the data, and 3) interactive exploration of the data through 3rd party (e.g. shiny, dashboard etc.) applications that can be scaled using docker containers. Strict data access rules and user-specific roles are applied across the whole platform to maintain data security. Minuteman is ideal for scenarios where data security, and privileged access are critical, such as industry-academia collaborations, and multi-institution consortiums. Using single-cell transcriptomics preprocessing, analyses and visualization pipelines across labs, we showcase the utility of the Minuteman platform for biomedical data analyses. Minuteman code is available at (https://github.com/hayatlab/minuteman)

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted January 23, 2023.
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Minuteman – A versatile cloud computational platform for collaborative research
Xinkai Li, Joydeep Charkaborty, Michael Jameson, Hobert Moore, Alexis Laux-Biehlmann, Sikander Hayat, Dhawal Jain
bioRxiv 2023.01.21.514916; doi: https://doi.org/10.1101/2023.01.21.514916
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Minuteman – A versatile cloud computational platform for collaborative research
Xinkai Li, Joydeep Charkaborty, Michael Jameson, Hobert Moore, Alexis Laux-Biehlmann, Sikander Hayat, Dhawal Jain
bioRxiv 2023.01.21.514916; doi: https://doi.org/10.1101/2023.01.21.514916

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