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GESS

web-tool, GESS, based on the analysis of single nucleotide variants (SNVs) from high-coverage and high-quality hCoV-19 viral genomes downloaded from GISAID.
CreativeWork web_application Q110584966
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GESS

Summary

GESS is a web application[1].

Key Facts

  • GESS's instance of is recorded as web application[2].
  • GESS's official website is recorded as https://wan-bioinfo.shinyapps.io/GESS/[3].
  • GESS's topic's main category is recorded as COVID-19[4].
  • GESS's main subject is recorded as COVID-19[5].
  • GESS's main subject is recorded as SARS-CoV-2[6].
  • GESS's described by source is recorded as GESS: a database of global evaluation of SARS-CoV-2/hCoV-19 sequences[7].
  • GESS's described by source is recorded as The 2021 Nucleic Acids Research database issue and the online molecular biology database collection[8].
  • GESS's described by source is recorded as Nucleic Acids Research (NAR) database[9].
  • GESS's maintained by WikiProject is recorded as Biosciences databases[10].

Body

Subject and Themes

Main subjects include COVID-19[5] and SARS-CoV-2[6].

Related Entities

web application

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] ↑ . oxfordjournals.org. oxfordjournals.org. Provenance: wikidata.org.
  9. [10] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

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). GESS. Retrieved May 3, 2026, from https://4ort.xyz/entity/gess
MLA “GESS.” 4ort.xyz Knowledge Graph, 4ort.xyz, 3 May. 2026, https://4ort.xyz/entity/gess.
BibTeX @misc{4ortxyz_gess_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{GESS}}, year = {2026}, url = {https://4ort.xyz/entity/gess}, note = {Accessed: 2026-05-03}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): GESS — https://4ort.xyz/entity/gess (retrieved 2026-05-03)

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