EpiMetal: an open-source graphical web browser tool for easy statistical analyses in epidemiology and metabolomics

Jussi Ekholm; Pauli Ohukainen; Antti J Kangas; Johannes Kettunen; Qin Wang; Mari Karsikas; Anmar A Khan; Bronwyn A Kingwell; Mika Kähönen; Terho Lehtimäki; Olli T Raitakari; Marjo-Riitta Järvelin; Peter J Meikle; Mika Ala-Korpela

doi:10.1093/ije/dyz244

EpiMetal: an open-source graphical web browser tool for easy statistical analyses in epidemiology and metabolomics

Jussi Ekholm, Pauli Ohukainen, Antti J Kangas, Johannes Kettunen, Qin Wang, Mari Karsikas, Anmar A Khan, Bronwyn A Kingwell, Mika Kähönen, Terho Lehtimäki, Olli T Raitakari, Marjo-Riitta Järvelin, Peter J Meikle, Mika Ala-Korpela

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Abstract

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 data-driven 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].

Original language	English
Article number	dyz244
Number of pages	7
Journal	International Journal of Epidemiology
Early online date	16 Jan 2020
DOIs	https://doi.org/10.1093/ije/dyz244
Publication status	E-pub ahead of print - 16 Jan 2020

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Ekholm, J., Ohukainen, P., Kangas, A. J., Kettunen, J., Wang, Q., Karsikas, M., Khan, A. A., Kingwell, B. A., Kähönen, M., Lehtimäki, T., Raitakari, O. T., Järvelin, M-R., Meikle, P. J., & Ala-Korpela, M. (2020). EpiMetal: an open-source graphical web browser tool for easy statistical analyses in epidemiology and metabolomics. International Journal of Epidemiology, [dyz244]. https://doi.org/10.1093/ije/dyz244

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title = "EpiMetal: an open-source graphical web browser tool for easy statistical analyses in epidemiology and metabolomics",

abstract = "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 data-driven 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].",

author = "Jussi Ekholm and Pauli Ohukainen and Kangas, {Antti J} and Johannes Kettunen and Qin Wang and Mari Karsikas and Khan, {Anmar A} and Kingwell, {Bronwyn A} and Mika K{\"a}h{\"o}nen and Terho Lehtim{\"a}ki and Raitakari, {Olli T} and Marjo-Riitta J{\"a}rvelin and Meikle, {Peter J} and Mika Ala-Korpela",

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doi = "10.1093/ije/dyz244",

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Ekholm, J, Ohukainen, P, Kangas, AJ, Kettunen, J, Wang, Q, Karsikas, M, Khan, AA, Kingwell, BA, Kähönen, M, Lehtimäki, T, Raitakari, OT, Järvelin, M-R, Meikle, PJ & Ala-Korpela, M 2020, 'EpiMetal: an open-source graphical web browser tool for easy statistical analyses in epidemiology and metabolomics', International Journal of Epidemiology. https://doi.org/10.1093/ije/dyz244

TY - JOUR

T1 - EpiMetal

T2 - an open-source graphical web browser tool for easy statistical analyses in epidemiology and metabolomics

AU - Ekholm, Jussi

AU - Ohukainen, Pauli

AU - Kangas, Antti J

AU - Kettunen, Johannes

AU - Wang, Qin

AU - Karsikas, Mari

AU - Khan, Anmar A

AU - Kingwell, Bronwyn A

AU - Kähönen, Mika

AU - Lehtimäki, Terho

AU - Raitakari, Olli T

AU - Järvelin, Marjo-Riitta

AU - Meikle, Peter J

AU - Ala-Korpela, Mika

PY - 2020/1/16

Y1 - 2020/1/16

N2 - 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 data-driven 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].

AB - 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 data-driven 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].

U2 - 10.1093/ije/dyz244

DO - 10.1093/ije/dyz244

M3 - Article (Academic Journal)

C2 - 31943015

SN - 0300-5771

JO - International Journal of Epidemiology

JF - International Journal of Epidemiology

M1 - dyz244

ER -

EpiMetal: an open-source graphical web browser tool for easy statistical analyses in epidemiology and metabolomics

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