Back to Search Start Over

Community standards for open cell migration data

Authors :
Jason R. Swedlow
Sébastien Besson
Alejandra Gonzalez-Beltran
Yael Paran
Assaf Zaritsky
Merijn van Erp
Christophe Ampe
Matthias Gunzer
Lennart Martens
Robert H. Eibl
Josh Moore
Marc Schuster
Marleen Van Troys
Simone Leo
Susanna-Assunta Sansone
Paola Masuzzo
Philippe Rocca-Serra
Mark Kittisopikul
Sylvia E. Le Dévédec
Peter Friedl
Gert Jan Bakker
Jaime Prilusky
Philippe Roudot
Staffan Strömblad
Gwendolien Sergeant
Source :
Gigascience, 9, GIGASCIENCE, GigaScience, bioRxiv, 1-35, STARTPAGE=1;ENDPAGE=35;TITLE=bioRxiv, Gigascience, 9, 5, GigaScience, 9(5), giaa041. OXFORD UNIV PRESS
Publication Year :
2020

Abstract

Contains fulltext : 220755.pdf (Publisher’s version ) (Open Access) Cell migration research has become a high-content field. However, the quantitative information encapsulated in these complex and high-dimensional datasets is not fully exploited owing to the diversity of experimental protocols and non-standardized output formats. In addition, typically the datasets are not open for reuse. Making the data open and Findable, Accessible, Interoperable, and Reusable (FAIR) will enable meta-analysis, data integration, and data mining. Standardized data formats and controlled vocabularies are essential for building a suitable infrastructure for that purpose but are not available in the cell migration domain. We here present standardization efforts by the Cell Migration Standardisation Organisation (CMSO), an open community-driven organization to facilitate the development of standards for cell migration data. This work will foster the development of improved algorithms and tools and enable secondary analysis of public datasets, ultimately unlocking new knowledge of the complex biological process of cell migration.

Details

ISSN :
2047217X
Database :
OpenAIRE
Journal :
Gigascience, 9, GIGASCIENCE, GigaScience, bioRxiv, 1-35, STARTPAGE=1;ENDPAGE=35;TITLE=bioRxiv, Gigascience, 9, 5, GigaScience, 9(5), giaa041. OXFORD UNIV PRESS
Accession number :
edsair.doi.dedup.....69a7597bb0ca9d789d0402dd9151cf5d