About: A novel methodology for large-scale phylogeny partition

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: A novel methodology for large-scale phylogeny partition 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	A novel methodology for large-scale phylogeny partition
Creator	Salemi, Marco Borghi, Vanni Bruzzone, Bianca Capetti, Amedeo De Luca, Andrea Pecorari, Monica Rusconi, Stefano Saladini, Francesco Sighinolfi, Laura Vivarelli, Angela Ciccozzi, Fanti, Iuri Giambenedetto, Simona Gismondo, Rita Gray, Rebecca Prosperi, C Re, Carla
Source	Medline; PMC
abstract	Understanding the determinants of virus transmission is a fundamental step for effective design of screening and intervention strategies to control viral epidemics. Phylogenetic analysis can be a valid approach for the identification of transmission chains, and very-large data sets can be analysed through parallel computation. Here we propose and validate a new methodology for the partition of large-scale phylogenies and the inference of transmission clusters. This approach, on the basis of a depth-first search algorithm, conjugates the evaluation of node reliability, tree topology and patristic distance analysis. The method has been applied to identify transmission clusters of a phylogeny of 11,541 human immunodeficiency virus-1 subtype B pol gene sequences from a large Italian cohort. Molecular transmission chains were characterized by means of different clinical/demographic factors, such as the interaction between male homosexuals and male heterosexuals. Our method takes an advantage of a flexible notion of transmission cluster and can become a general framework to analyse other epidemics.
has issue date	2011-05-24(xsd:dateTime)
bibo:doi	10.1038/ncomms1325
bibo:pmid	21610724
has license	bronze-oa
sha1sum (hex)	68dec1e5e53ca0b9bc7e95a5d7fe67dba19cb690
schema:url	https://doi.org/10.1038/ncomms1325
resource representing a document's title	A novel methodology for large-scale phylogeny partition
has PubMed Central identifier	PMC6045912
has PubMed identifier	21610724
schema:publication	Nature Communications
resource representing a document's body	covid:68dec1e5e53ca0b9bc7e95a5d7fe67dba19cb690#body_text
is schema:about of	named entity 'LARGE' named entity 'METHODOLOGY' named entity 'validate' named entity 'methodology' named entity 'Italian' named entity 'virus' named entity 'analyse' named entity 'patristic' named entity 'viral' named entity 'interaction' named entity 'GROUP' named entity 'FLEXIBLE' named entity 'DIFFERENT' named entity 'PHYLOGENY' named entity 'COMPUTATION' named entity 'TO IDENTIFY' named entity 'COHORT' named entity 'APPLIED' named entity 'OUR' named entity 'MALE' named entity 'DETERMINANTS' named entity 'CLUSTERS' named entity 'SEARCH ALGORITHM' named entity 'NEW' named entity 'SEQUENCES' named entity 'COLLABORATIVE' named entity 'ARCA' named entity 'ANALYSIS' named entity 'CONJUGATES' named entity 'NOTION' named entity 'POL GENE' named entity 'EFFECTIVE' named entity 'LARGE' named entity 'PARTITION' named entity 'TREE' named entity 'IS A' named entity 'APPROACH' named entity 'CHARACTERIZED' named entity 'RELIABILITY' named entity 'DISTANCE' named entity 'HETEROSEXUALS' named entity 'INTERACTION' named entity 'IDENTIFICATION' named entity 'INTERVENTION STRATEGIES' named entity 'VIRUS' named entity 'CLINICAL' named entity 'SCREENING' named entity 'BASIS' named entity 'PHYLOGENETIC ANALYSIS' named entity 'MOLECULAR' named entity 'GENERAL' named entity 'NODE' named entity 'EPIDEMICS' named entity 'MEANS' named entity 'COLLABORATIVE' named entity 'SUBTYPE' named entity 'VIRAL' named entity 'PARTITION' named entity 'EVALUATION' named entity 'VALID' named entity 'CLUSTER' named entity 'METHODOLOGY' named entity 'SCALE' named entity 'PHYLOGENY' named entity 'NOVEL'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software