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Biological pathway abstractions: from two-dimensional drawings to multidimensional linked data

PhD thesis of 2024 by Dr Andra Waagmeester
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Summary

Biological pathway abstractions: from two-dimensional drawings to multidimensional linked data is a doctoral thesis[1].

Key Facts

  • Author: Andra Waagmeester[2]
  • Language of work or name: from two-dimensional drawings to multidimensional linked data — language of work or name (P407): English[3]
  • Publication date: January 16, 2024[4]
  • Main subject: from two-dimensional drawings to multidimensional linked data — main subject (P921): WikiPathways[5], from two-dimensional drawings to multidimensional linked data — main subject (P921): Wikidata[6], from two-dimensional drawings to multidimensional linked data — main subject (P921): text mining[7], from two-dimensional drawings to multidimensional linked data — main subject (P921): bioinformatics[8], from two-dimensional drawings to multidimensional linked data — main subject (P921): Shape Expressions[9]
  • Title: Biological pathway abstractions: from two-dimensional drawings to multidimensional linked data[10]
  • Cites work: from two-dimensional drawings to multidimensional linked data — cites work (P2860): The role of bioinformatics in pathway curation[11], from two-dimensional drawings to multidimensional linked data — cites work (P2860): Pathway enrichment based on text mining and its validation on carotenoid and vitamin A metabolism[12], from two-dimensional drawings to multidimensional linked data — cites work (P2860): Using the Semantic Web for Rapid Integration of WikiPathways with Other Biological Online Data Resources[13], from two-dimensional drawings to multidimensional linked data — cites work (P2860): Wikidata as a knowledge graph for the life sciences[14], from two-dimensional drawings to multidimensional linked data — cites work (P2860): A protocol for adding knowledge to Wikidata: aligning resources on human coronaviruses[15]
  • Thesis submitted to: from two-dimensional drawings to multidimensional linked data — thesis submitted to (P4101): Maastricht University[16]
  • Thesis committee member: from two-dimensional drawings to multidimensional linked data — thesis committee member (P9161): Chris T. Evelo[17], from two-dimensional drawings to multidimensional linked data — thesis committee member (P9161): Susan Coort[18], from two-dimensional drawings to multidimensional linked data — thesis committee member (P9161): Egon Willighagen[19]

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.
  2. [3] ↑ . wikidata.org.
  3. [4] ↑ . wikidata.org.
  4. [5] ↑ . wikidata.org.
  5. [6] ↑ . wikidata.org.
  6. [7] ↑ . wikidata.org.
  7. [8] ↑ . wikidata.org.
  8. [9] ↑ . wikidata.org.
  9. [10] ↑ . wikidata.org.
  10. [11] ↑ . wikidata.org.
  11. [12] ↑ . wikidata.org.
  12. [13] ↑ . wikidata.org.
  13. [14] ↑ . wikidata.org.
  14. [15] ↑ . wikidata.org.
  15. [16] ↑ . wikidata.org.
  16. [17] ↑ . wikidata.org.
  17. [18] ↑ . wikidata.org.
  18. [19] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Biological pathway abstractions: from two-dimensional drawings to multidimensional linked data. Retrieved October 20, 2026, from https://4ort.xyz/entity/biological-pathway-abstractions-from-two-dimensional-drawings-to-multidimensional-linked-data
MLA “Biological pathway abstractions: from two-dimensional drawings to multidimensional linked data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 20 Oct. 2026, https://4ort.xyz/entity/biological-pathway-abstractions-from-two-dimensional-drawings-to-multidimensional-linked-data.
BibTeX @misc{4ortxyz_biological-pathway-abstractions-from-two-dimensional-drawings-to-multidimensional-linked-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Biological pathway abstractions: from two-dimensional drawings to multidimensional linked data}}, year = {2026}, url = {https://4ort.xyz/entity/biological-pathway-abstractions-from-two-dimensional-drawings-to-multidimensional-linked-data}, note = {Accessed: 2026-10-20}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Biological pathway abstractions: from two-dimensional drawings to multidimensional linked data — https://4ort.xyz/entity/biological-pathway-abstractions-from-two-dimensional-drawings-to-multidimensional-linked-data (retrieved 2026-10-20)

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