FAIR Functional Enrichment_Yi Chen_frl6440373_coverpage.pdf 2,67MB
1000 Titel
  • FAIR Functional Enrichment: Assessing and Modelling Provenance in Omics Results - Presentation
1000 Autor/in
  1. Chen, Yi |
1000 Erscheinungsjahr
  • 2023
1000 Publikationstyp
  1. Kongressschrift |
1000 Online veröffentlicht
  • 2023-03
1000 Erschienen in
1000 Übergeordneter Kongress
1000 Lizenz
1000 Verlagsversion
  • |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Functional enrichment analysis is an essential downstream process in high throughput omics studies, such as transcriptomics and proteomics. By using the Gene Ontology (GO) and its annotations (GOA),underlying functional patterns of over-representation can be identified, leading to better interpretation of the omics data and new biological insights. However, GO reflects the current understanding of gene product function and evolves with our changing biological knowledge. When performing such analyses, it is therefore crucial to record GO version provenance, together with related parameters, such as statistical cut-offs and annotation sources. Surveying the literature on functional enrichment results reveals provenance information is rarely available, reducing the reproducibility and interpretation of results and preventing objective comparisons between related studies. In this work, we propose a minimal metadata requirement for functional enrichment reproducibility. Our model complies with the FAIR principles and is based on the provenance ontology (PROV-O). We demonstrate the scale of the problem and the utility of our solution with data from SARS-CoV-2, a recent fast-moving research hot-spot.
1000 Sacherschließung
lokal reproducibility
lokal Gene Ontology
lokal provenance
lokal FAIR
lokal enrichment analysis
1000 Fächerklassifikation (DDC)
1000 DOI 10.4126/FRL01-006440373 |
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  1. FAIR Functional Enrichment: Assessing and Modelling Provenance in Omics Results - Presentation
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1000 Erstellt am 2023-02-24T11:07:35.973+0100
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