The tidyomics ecosystem: Enhancing omic data analyses.
bioRxiv
; 2024 May 22.
Article
em En
| MEDLINE
| ID: mdl-38826347
ABSTRACT
The growth of omic data presents evolving challenges in data manipulation, analysis, and integration. Addressing these challenges, Bioconductor1 provides an extensive community-driven biological data analysis platform. Meanwhile, tidy R programming2 offers a revolutionary standard for data organisation and manipulation. Here, we present the tidyomics software ecosystem, bridging Bioconductor to the tidy R paradigm. This ecosystem aims to streamline omic analysis, ease learning, and encourage cross-disciplinary collaborations. We demonstrate the effectiveness of tidyomics by analysing 7.5 million peripheral blood mononuclear cells from the Human Cell Atlas3, spanning six data frameworks and ten analysis tools.
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Base de dados:
MEDLINE
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En
Revista:
BioRxiv
Ano de publicação:
2024
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Article
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Austrália