Data analysis tools

In addition to a comprehensive overview of various biological pathways and information on sample quality, we also provide several data-analysis tools to help you to get the most out of your data.

Nightingale provides a comprehensive overview of various biological pathways and information on sample quality, thus the amount of data can become overwhelming. To help you get the most out of your data and interpret your findings, our team and independent researchers have developed several data-analysis tools. If you have questions on how to use the different tools, we recommend reaching out to the tool developers and their organizations.

Data analysis tools

ggforestplot

Applications: Use this R-package and tutorial for biomarker association analysis and result visualisation.

Output of data: Result tables and forestplots.

EpiMetal

Applications: Use this tool for basic regression analysis and data visualisation.

Output of data: Result tables and graphs.

MRBase

Applications: Use this tool to perform two-sample Mendelian Randomisation analysis and genome-wide association results.

Output of data: Result tables and graphs, downloadable txt-files.

Based on: Hemani et al. 2018 (https://elifesciences.org/articles/34408)

Phenoscanner

Applications: Use this tool to explore genotype-phenotype associations.

Output of the data: downloadable txt-files

Based on: Staley et al. 2016 (https://academic.oup.com/bioinformatics/article/32/20/3207/2196494) and Kamat et al. 2019 (https://academic.oup.com/bioinformatics/article/35/22/4851/5522366)

FinMetSeq results

Applications: Use this tool to explore genotype-phenotype associations.

Output of the data: Result tables and graphs

Based on: Taliun et al. 2020 (https://www.nature.com/articles/s41588-020-0622-5)

BBMRI atlas

Applications: Use this tool to explore medicine-metabolite and disease-metabolite associations. 

Output of the data: downloadable txt-files

MetaboAge

Applications: Use this tool to calculate metabolic age.

Output of the data: downloadable txt-files

Based on: van der Akker et al. 2020 (https://www.ahajournals.org/doi/full/10.1161/CIRCGEN.119.002610)

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