# 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. **Wikidata**: [Q110584966](https://www.wikidata.org/wiki/Q110584966) **Source**: https://4ort.xyz/entity/gess ## Summary GESS (Global Evaluation of SARS-CoV-2/hCoV-19 Sequences) is a web application for analyzing single nucleotide variants (SNVs) from high-quality hCoV-19 viral genomes sourced from GISAID. As a browser-based bioinformatics tool, it enables researchers to access and evaluate COVID-19 genetic data without requiring software installation. It is recognized in the 2021 Nucleic Acids Research database issue. ## Key Facts - **Full Name**: Global Evaluation of SARS-CoV-2/hCoV-19 Sequences - **Entity Type**: Web application (subclass of Internet application and software) - **Primary Function**: Analysis of single nucleotide variants (SNVs) from hCoV-19 viral genomes - **Data Source**: GISAID (high-coverage and high-quality hCoV-19 viral genomes) - **Website**: https://wan-bioinfo.shinyapps.io/GESS/ (English interface) - **Classification**: Schema.org `WebApplication` class equivalent - **Primary Subject**: COVID-19 and SARS-CoV-2 - **Academic Recognition**: Featured in the 2021 Nucleic Acids Research database issue and the online molecular biology database collection - **Maintenance**: Maintained under the WikiProject Biosciences databases - **Technical Basis**: Browser-based client interface using web technologies (HTML, CSS, JavaScript) ## FAQs ### Q: What is GESS used for? GESS is a bioinformatics web tool designed to analyze single nucleotide variants (SNVs) from SARS-CoV-2/hCoV-19 genomic sequences. It processes high-coverage, high-quality viral genome data downloaded from GISAID to support COVID-19 research. ### Q: Do I need to install software to use GESS? No. GESS is a web application that runs entirely in a web browser, allowing users to access its features online without downloading or installing any software on their device. ### Q: Where does GESS get its genomic data? GESS sources its data from GISAID, a global scientific initiative and primary source for genomic data of influenza viruses and the coronavirus responsible for the COVID-19 pandemic. ### Q: Is GESS a recognized scientific resource? Yes. GESS is described by the academic source "GESS: a database of global evaluation of SARS-CoV-2/hCoV-19 sequences" and is listed in the 2021 Nucleic Acids Research (NAR) database issue and online molecular biology database collection. ## Why It Matters GESS plays a critical role in the global response to the COVID-19 pandemic by providing researchers with an accessible, browser-based platform to analyze viral genetic mutations. By focusing on single nucleotide variants (SNVs) from high-quality genomes sourced via GISAID, it allows scientists to track viral evolution, identify mutations of concern, and support epidemiological studies without the barrier of complex local software installations. Its inclusion in the prestigious Nucleic Acids Research (NAR) database issue validates its utility and relevance in the field of molecular biology. As a web tool, it democratizes access to complex bioinformatics analysis, enabling broader collaboration and faster scientific discovery during a global health crisis. ## Notable For - **Browser-Based Bioinformatics**: Eliminates the need for local software installation, providing cross-platform access to viral genome analysis. - **High-Quality Data Focus**: Specifically analyzes high-coverage and high-quality hCoV-19 genomes to ensure analysis reliability. - **GISAID Integration**: Directly utilizes the primary global repository for SARS-CoV-2 genomic data. - **Academic Recognition**: Included in the 2021 Nucleic Acids Research database issue, a standard for high-quality molecular biology databases. - **SNV Analysis Specialization**: Focuses on single nucleotide variants, a key metric for tracking viral mutations and evolution. ## Body ### Definition and Core Characteristics GESS (Global Evaluation of SARS-CoV-2/hCoV-19 Sequences) is a web application classified as an Internet application and software tool. It operates via a web browser interface, accessible at `https://wan-bioinfo.shinyapps.io/GESS/`. The platform is designed for the analysis of single nucleotide variants (SNVs) derived from hCoV-19 viral genomes. ### Technical Architecture and Data Source As a web application, GESS functions through a client-server model where the user's web browser serves as the client. It relies on backend server software and source code to deliver its functionality, specifically processing data without requiring local installation. The application's data pipeline is built on high-coverage and high-quality hCoV-19 viral genomes that are downloaded from GISAID, the global science initiative providing open-access to genomic data for influenza and the coronavirus responsible for COVID-19. ### Academic Context and Validation GESS is formally recognized in the scientific community through its inclusion in authoritative academic sources. It is described by the source titled "GESS: a database of global evaluation of SARS-CoV-2/hCoV-19 sequences" and is listed in "The 2021 Nucleic Acids Research database issue and the online molecular biology database collection." Additionally, it is referenced as a "Nucleic Acids Research (NAR) database" with a cited reference to the Oxford Journals database summary. The tool's main category is COVID-19, and it is maintained under the WikiProject Biosciences databases. ### Web Application Framework Falling under the broader class of web applications, GESS shares common characteristics with other tools in this category, such as using web technologies like HTML, CSS, and JavaScript for its interface. While other web applications serve diverse industries like productivity, media, and social networking, GESS is specialized for scientific and research purposes, specifically within the domain of biosciences. It is structured to handle dynamic data processing and user interaction, consistent with the standard definition of a web application as opposed to a static website. ## References 1. [Source](https://www.oxfordjournals.org/nar/database/summary/2246)