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Advanced Functions Embedded in the Second Version of Database, Global Evaluation of SARS-CoV-2/hCoV-19 Sequences 2
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 cor...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9037956/ https://www.ncbi.nlm.nih.gov/pubmed/35479940 http://dx.doi.org/10.3389/fmed.2022.813964 |
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author | Li, Kailing Wang, Audrey K. Y. Liu, Sheng Fang, Shuyi Lu, Alex Z. Shen, Jikui Yang, Lei Hu, Chang-Deng Yang, Kai Wan, Jun |
author_facet | Li, Kailing Wang, Audrey K. Y. Liu, Sheng Fang, Shuyi Lu, Alex Z. Shen, Jikui Yang, Lei Hu, Chang-Deng Yang, Kai Wan, Jun |
author_sort | Li, Kailing |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9037956 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-90379562022-04-26 Advanced Functions Embedded in the Second Version of Database, Global Evaluation of SARS-CoV-2/hCoV-19 Sequences 2 Li, Kailing Wang, Audrey K. Y. Liu, Sheng Fang, Shuyi Lu, Alex Z. Shen, Jikui Yang, Lei Hu, Chang-Deng Yang, Kai Wan, Jun Front Med (Lausanne) Medicine 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. Frontiers Media S.A. 2022-04-11 /pmc/articles/PMC9037956/ /pubmed/35479940 http://dx.doi.org/10.3389/fmed.2022.813964 Text en Copyright © 2022 Li, Wang, Liu, Fang, Lu, Shen, Yang, Hu, Yang and Wan. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Medicine Li, Kailing Wang, Audrey K. Y. Liu, Sheng Fang, Shuyi Lu, Alex Z. Shen, Jikui Yang, Lei Hu, Chang-Deng Yang, Kai Wan, Jun Advanced Functions Embedded in the Second Version of Database, Global Evaluation of SARS-CoV-2/hCoV-19 Sequences 2 |
title | Advanced Functions Embedded in the Second Version of Database, Global Evaluation of SARS-CoV-2/hCoV-19 Sequences 2 |
title_full | Advanced Functions Embedded in the Second Version of Database, Global Evaluation of SARS-CoV-2/hCoV-19 Sequences 2 |
title_fullStr | Advanced Functions Embedded in the Second Version of Database, Global Evaluation of SARS-CoV-2/hCoV-19 Sequences 2 |
title_full_unstemmed | Advanced Functions Embedded in the Second Version of Database, Global Evaluation of SARS-CoV-2/hCoV-19 Sequences 2 |
title_short | Advanced Functions Embedded in the Second Version of Database, Global Evaluation of SARS-CoV-2/hCoV-19 Sequences 2 |
title_sort | advanced functions embedded in the second version of database, global evaluation of sars-cov-2/hcov-19 sequences 2 |
topic | Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9037956/ https://www.ncbi.nlm.nih.gov/pubmed/35479940 http://dx.doi.org/10.3389/fmed.2022.813964 |
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