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AirLab: a cloud-based platform to manage and share antibody-based single-cell research

Catena, Raúl; Özcan, Alaz; Jacobs, Andrea; Chevrier, Stephane; Bodenmiller, Bernd (2016). AirLab: a cloud-based platform to manage and share antibody-based single-cell research. Genome Biology, 17(1):142.

Abstract

Single-cell analysis technologies are essential tools in research and clinical diagnostics. These methods include flow
cytometry, mass cytometry, and other microfluidics-based technologies. Most laboratories that employ these methods
maintain large repositories of antibodies. These ever-growing collections of antibodies, their multiple conjugates, and
the large amounts of data generated in assays using specific antibodies and conditions makes a dedicated software
solution necessary. We have developed AirLab, a cloud-based tool with web and mobile interfaces, for the
organization of these data. AirLab streamlines the processes of antibody purchase, organization, and storage, antibody
panel creation, results logging, and antibody validation data sharing and distribution. Furthermore, AirLab enables
inventory of other laboratory stocks, such as primers or clinical samples, through user-controlled customization. Thus,
AirLab is a mobile-powered and flexible tool that harnesses the capabilities of mobile tools and cloud-based
technology to facilitate inventory and sharing of antibody and sample collections and associated validation data.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Molecular Life Sciences
Dewey Decimal Classification:570 Life sciences; biology
Scopus Subject Areas:Life Sciences > Ecology, Evolution, Behavior and Systematics
Life Sciences > Genetics
Life Sciences > Cell Biology
Language:English
Date:2016
Deposited On:10 Feb 2017 12:54
Last Modified:16 Sep 2024 01:36
Publisher:BioMed Central
ISSN:1474-7596
OA Status:Gold
Free access at:PubMed ID. An embargo period may apply.
Publisher DOI:https://doi.org/10.1186/s13059-016-1006-0
PubMed ID:27356760
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