About: Analysis and visualization of H7 influenza using genomic, evolutionary and geographic information in a modular web service

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About: Analysis and visualization of H7 influenza using genomic, evolutionary and geographic information in a modular web service Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Analysis and visualization of H7 influenza using genomic, evolutionary and geographic information in a modular web service
Creator	Janies, Daniel Aaronson, Jacob Bitterman, Thomas Handelman, Samuel Hardman, Jori Kawalec, Kevin Pomeroy, Laura Wheeler, Ward
topic	covid:3f4086173e51a0895faf545e677fd0a0e118e7ab#this
Source	Medline; PMC
abstract	We have reported previously on use of a web‐based application, Supramap (http://supramap.org) for the study of biogeographic, genotypic, and phenotypic evolution. Using Supramap we have developed maps of the spread of drug‐resistant influenza and host shifts in H1N1 and H5N1 influenza and coronaviruses such as SARS. Here we report on another zoonotic pathogen, H7 influenza, and provide an update on the implementation of Supramap as a web service. We find that the emergence of pathogenic strains of H7 is labile with many transitions from high to low pathogenicity, and from low to high pathogenicity. We use Supramap to put these events in a temporal and geospatial context. We identify several lineages of H7 influenza with biomarkers of high pathogenicity in regions that have not been reported in the scientific literature. The original implementation of Supramap was built with tightly coupled client and server software. Now we have decoupled the components to provide a modular web service for POY (http://poyws.org) that can be consumed by a data provider to create a novel application. To demonstrate the web service, we have produced an application, Geogenes (http://geogenes.org). Unlike in Supramap, in which the user is required to create and upload data files, in Geogenes the user works from a graphical interface to query an underlying dataset. Geogenes demonstrates how the web service can provide underlying processing for any sequence and metadata database. © The Willi Hennig Society 2012.
has issue date	2012-05-21(xsd:dateTime)
bibo:doi	10.1111/j.1096-0031.2012.00401.x
bibo:pmid	32313365
has license	no-cc
sha1sum (hex)	3f4086173e51a0895faf545e677fd0a0e118e7ab
schema:url	https://doi.org/10.1111/j.1096-0031.2012.00401.x
resource representing a document's title	Analysis and visualization of H7 influenza using genomic, evolutionary and geographic information in a modular web service
has PubMed Central identifier	PMC7162197
has PubMed identifier	32313365
schema:publication	Cladistics
resource representing a document's body	covid:3f4086173e51a0895faf545e677fd0a0e118e7ab#body_text
is http://vocab.deri.ie/void#inDataset of	proxy:http/ns.inria.fr/covid19/3f4086173e51a0895faf545e677fd0a0e118e7ab
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