Matches in SemOpenAlex for { <https://semopenalex.org/work/W4308963287> ?p ?o ?g. }
- W4308963287 abstract "The COVID-19 pandemic has resulted in a step change in the scale of sequencing data, with more genomes of SARS-CoV-2 having been sequenced than any other organism on earth. These sequences reveal key insights when represented as a phylogenetic tree, which captures the evolutionary history of the virus, and allows the identification of transmission events and the emergence of new variants. However, existing web-based tools for exploring phylogenies do not scale to the size of datasets now available for SARS-CoV-2. We have developed Taxonium, a new tool that uses WebGL to allow the exploration of trees with tens of millions of nodes in the browser for the first time. Taxonium links each node to associated metadata and supports mutation-annotated trees, which are able to capture all known genetic variation in a dataset. It can either be run entirely locally in the browser, from a server-based backend, or as a desktop application. We describe insights that analysing a tree of five million sequences can provide into SARS-CoV-2 evolution, and provide a tool at cov2tree.org for exploring a public tree of more than five million SARS-CoV-2 sequences. Taxonium can be applied to any tree, and is available at taxonium.org, with source code at github.com/theosanderson/taxonium.Since 2020, the SARS-CoV-2 virus has infected billions of people and spread to 185 countries. The virus spreads by making new copies of its genome inside human cells and exploits the cells’ machinery to synthesise viral proteins it needs to infect further cells. Each time the virus copies its genetic material there’s a chance that the replication process introduces an error to the genetic sequence. Over time, these mutations accumulate which can give rise to new variants with different properties. These new variants, originating from a common ancestor, may spread faster or be able to evade immune systems that have learnt to recognise previous variants. To understand where new variants of SARS-CoV-2 come from and how related they are to each other, scientists build family trees called ‘phylogenetic trees’ based on similarities in the genetic sequences of different variants of the virus. Looking at these trees researchers can track how a variant spreads geographically, and also attempt to identify new worrying variants that might lead to a new wave of infections. The scale of the COVID-19 pandemic together with the global effort by clinicians and researchers to sequence SARS-CoV-2 genetic material means a library of over 13 million SARS-CoV-2 genomes now exists, making it the largest such collection for any organism. Although phylogenetic trees of viruses have been studied for a long time, exploring the SARS-CoV-2 library presents technical and practical challenges due to its sheer size. Sanderson has developed an open-source web tool called Taxonium that allows users to explore phylogenetic trees with millions of sequences. With help from collaborators at the University of California, Santa Cruz, Sanderson built a website called Cov2Tree, that uses the Taxonium platform to allow immediate access to an expansive tree of all publicly available SARS-CoV-2 sequences. Cov2Tree enables users to visualise all SARS-CoV-2 genomes in a birds-eye view akin to a ‘Google Earth for virus sequences’ where anyone can zoom in on a related family of viruses down to the level of individual sequences. This can be used to compare variants and follow geographic spread. Using Taxonium, scientists can explore how virus sequences are related to each other. They can also see the individual mutations that have occurred at each branch of the tree, and can search for sequences based on mutation, geographical location, or other factors. Interestingly, a trend appearing in the SARS-CoV-2 phylogenetic tree is the emergence of identical mutations at different branches of the tree without a common origin. These mutations may be a result of convergent evolution, a phenomenon that occurs when a mutation appears independently in different variants as it confers an advantage to the virus making such mutations more likely to persist. This means that scientists may be able to expect certain mutations to appear in more distantly related variants if they have appeared independently in several different variants already. Overall, Taxonium is an important tool for monitoring SARS-CoV-2 genomes, but it also has broader applications. The tool can be used to browse phylogenetic trees of other viruses and organisms. Furthermore, the Taxonium website offers a way to browse a tree of life, with images and links to Wikipedia. The SARS-CoV-2 library might be the largest now, but in the future even bigger datasets will likely be available, highlighting the importance of tools like Taxonium." @default.
- W4308963287 created "2022-11-20" @default.
- W4308963287 creator A5003694430 @default.
- W4308963287 date "2022-11-15" @default.
- W4308963287 modified "2023-10-01" @default.
- W4308963287 title "Taxonium, a web-based tool for exploring large phylogenetic trees" @default.
- W4308963287 cites W1993038297 @default.
- W4308963287 cites W2078151980 @default.
- W4308963287 cites W2120141270 @default.
- W4308963287 cites W2124807224 @default.
- W4308963287 cites W2132247062 @default.
- W4308963287 cites W2142678031 @default.
- W4308963287 cites W2207183215 @default.
- W4308963287 cites W2560057613 @default.
- W4308963287 cites W2605343262 @default.
- W4308963287 cites W2951878836 @default.
- W4308963287 cites W2952045272 @default.
- W4308963287 cites W3005235420 @default.
- W4308963287 cites W3009335848 @default.
- W4308963287 cites W3043124965 @default.
- W4308963287 cites W3083653247 @default.
- W4308963287 cites W3137147084 @default.
- W4308963287 cites W3156458251 @default.
- W4308963287 cites W3160568774 @default.
- W4308963287 cites W3180301457 @default.
- W4308963287 cites W3192186623 @default.
- W4308963287 cites W3196426464 @default.
- W4308963287 cites W3213447760 @default.
- W4308963287 cites W4200322511 @default.
- W4308963287 cites W4200598490 @default.
- W4308963287 cites W4205815466 @default.
- W4308963287 cites W4206792462 @default.
- W4308963287 cites W4206990638 @default.
- W4308963287 cites W4210929944 @default.
- W4308963287 cites W4220788488 @default.
- W4308963287 cites W4221049439 @default.
- W4308963287 cites W4252553099 @default.
- W4308963287 cites W4283021534 @default.
- W4308963287 cites W4293234553 @default.
- W4308963287 doi "https://doi.org/10.7554/elife.82392" @default.
- W4308963287 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36377483" @default.
- W4308963287 hasPublicationYear "2022" @default.
- W4308963287 type Work @default.
- W4308963287 citedByCount "20" @default.
- W4308963287 countsByYear W43089632872022 @default.
- W4308963287 countsByYear W43089632872023 @default.
- W4308963287 crossrefType "journal-article" @default.
- W4308963287 hasAuthorship W4308963287A5003694430 @default.
- W4308963287 hasBestOaLocation W43089632871 @default.
- W4308963287 hasConcept C104317684 @default.
- W4308963287 hasConcept C110875604 @default.
- W4308963287 hasConcept C111919701 @default.
- W4308963287 hasConcept C113174947 @default.
- W4308963287 hasConcept C11392498 @default.
- W4308963287 hasConcept C116834253 @default.
- W4308963287 hasConcept C127413603 @default.
- W4308963287 hasConcept C134306372 @default.
- W4308963287 hasConcept C136764020 @default.
- W4308963287 hasConcept C141231307 @default.
- W4308963287 hasConcept C165696696 @default.
- W4308963287 hasConcept C193252679 @default.
- W4308963287 hasConcept C33923547 @default.
- W4308963287 hasConcept C38652104 @default.
- W4308963287 hasConcept C41008148 @default.
- W4308963287 hasConcept C43126263 @default.
- W4308963287 hasConcept C54355233 @default.
- W4308963287 hasConcept C59822182 @default.
- W4308963287 hasConcept C62611344 @default.
- W4308963287 hasConcept C66938386 @default.
- W4308963287 hasConcept C70721500 @default.
- W4308963287 hasConcept C761482 @default.
- W4308963287 hasConcept C76155785 @default.
- W4308963287 hasConcept C86803240 @default.
- W4308963287 hasConcept C93518851 @default.
- W4308963287 hasConceptScore W4308963287C104317684 @default.
- W4308963287 hasConceptScore W4308963287C110875604 @default.
- W4308963287 hasConceptScore W4308963287C111919701 @default.
- W4308963287 hasConceptScore W4308963287C113174947 @default.
- W4308963287 hasConceptScore W4308963287C11392498 @default.
- W4308963287 hasConceptScore W4308963287C116834253 @default.
- W4308963287 hasConceptScore W4308963287C127413603 @default.
- W4308963287 hasConceptScore W4308963287C134306372 @default.
- W4308963287 hasConceptScore W4308963287C136764020 @default.
- W4308963287 hasConceptScore W4308963287C141231307 @default.
- W4308963287 hasConceptScore W4308963287C165696696 @default.
- W4308963287 hasConceptScore W4308963287C193252679 @default.
- W4308963287 hasConceptScore W4308963287C33923547 @default.
- W4308963287 hasConceptScore W4308963287C38652104 @default.
- W4308963287 hasConceptScore W4308963287C41008148 @default.
- W4308963287 hasConceptScore W4308963287C43126263 @default.
- W4308963287 hasConceptScore W4308963287C54355233 @default.
- W4308963287 hasConceptScore W4308963287C59822182 @default.
- W4308963287 hasConceptScore W4308963287C62611344 @default.
- W4308963287 hasConceptScore W4308963287C66938386 @default.
- W4308963287 hasConceptScore W4308963287C70721500 @default.
- W4308963287 hasConceptScore W4308963287C761482 @default.
- W4308963287 hasConceptScore W4308963287C76155785 @default.
- W4308963287 hasConceptScore W4308963287C86803240 @default.
- W4308963287 hasConceptScore W4308963287C93518851 @default.
- W4308963287 hasFunder F4320307874 @default.