A1 Refereed original research article in a scientific journal
EpiMetal: an open-source graphical web browser tool for easy statistical analyses in epidemiology and metabolomics
Authors: Ekholm Jussi, Ohukainen Pauli, Kangas Antti J, Kettunen Johannes, Wang Qin, Karsikas Mari, Khan Anmar A, Kingwell Bronwyn A, Kähonen Mika, Lehtimäki Terho, Raitakari Olli T, Järvelin Marjo-Riitta, Meikle Peter J, Ala-Korpela Mika
Publisher: OXFORD UNIV PRESS
Publication year: 2020
Journal: International Journal of Epidemiology
Journal name in source: INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
Journal acronym: INT J EPIDEMIOL
Volume: 49
Issue: 4
First page : 1075
Last page: 1081
Number of pages: 7
ISSN: 0300-5771
eISSN: 1464-3685
DOI: https://doi.org/10.1093/ije/dyz244
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/51229492
Motivation: An intuitive graphical interface that allows statistical analyses and visualizations of extensive data without any knowledge of dedicated statistical software or programming.Implementation: EpiMetal is a single-page web application written in JavaScript, to be used via a modern desktop web browser.General features: Standard epidemiological analyses and self-organizing maps for datadriven metabolic profiling are included. Multiple extensive datasets with an arbitrary number of continuous and category variables can be integrated with the software. Any snapshot of the analyses can be saved and shared with others via a www-link. We demonstrate the usage of EpiMetal using pilot data with over 500 quantitative molecular measures for each sample as well as in two large-scale epidemiological cohorts (N>10 000).Availability: The software usage exemplar and the pilot data are open access online at [http://EpiMetal.computationalmedicine.fi ]. MIT licensed source code is available at the Github repository at [https://github.com/amergin/epimetal].
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