Advanced Functions Embedded in the Second Version of Database, Global Evaluation of SARS-CoV-2/hCoV-19 Sequences 2

Kailing Li, Audrey K.Y. Wang, Sheng Liu, Shuyi Fang, Alex Z. Lu, Jikui Shen, Lei Yang, Chang Deng Hu, Kai Yang, Jun Wan

Research output: Contribution to journalArticlepeer-review

Abstract

The Global Evaluation of SARS-CoV-2/hCoV-19 Sequences 2 (GESS v2 https://shiny.ph.iu.edu/GESS_v2/) is an updated version of GESS, which has offered a handy query platform to analyze single-nucleotide variants (SNVs) on millions of high coverages and high-quality severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) complete genomes provided by the Global Initiative on Sharing Avian Influenza Data (GISAID). Including the tools in the first version, the GESS v2 is embedded with new functions, which allow users to search SNVs, given the viral nucleotide or amino acid sequence. The GESS v2 helps users to identify SNVs or SARS-CoV-2 lineages enriched in countries of user’s interest and show the migration path of a selected lineage on a world map during specific time periods chosen by the users. In addition, the GESS v2 can recognize the dynamic variations of newly emerging SNVs in each month to help users monitor SNVs, which will potentially become dominant soon. More importantly, multiple sets of analyzed results about SNVs can be downloaded directly from the GESS v2 by which users can conduct their own independent research. With these significant updates, the GESS v2 will continue to serve as a public open platform for researchers to explore SARS-CoV-2 evolutionary patterns from the perspectives of the prevalence and impact of SNVs.

Original languageEnglish (US)
Article number813964
JournalFrontiers in Medicine
Volume9
DOIs
StatePublished - Apr 11 2022

Keywords

  • COVID-19
  • SARS-CoV-2
  • SNV
  • database
  • enrichment
  • lineage
  • newly emerging

ASJC Scopus subject areas

  • General Medicine

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