About: Integrated sequence and immunology filovirus database at Los Alamos

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

About: Integrated sequence and immunology filovirus database at Los Alamos Goto Sponge NotDistinct Permalink

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

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Integrated sequence and immunology filovirus database at Los Alamos
Creator	Abfalterer, Werner Dimitrijevic, Mira Feng, Shihai Fischer, Will Foley, Brian Korber, Bette Kuiken, Carla Macke, Jennifer Szinger, James Yoon, Hyejin Yusim, Karina
Source	PMC
abstract	The Ebola outbreak of 2013–15 infected more than 28 000 people and claimed more lives than all previous filovirus outbreaks combined. Governmental agencies, clinical teams, and the world scientific community pulled together in a multifaceted response ranging from prevention and disease control, to evaluating vaccines and therapeutics in human trials. As this epidemic is finally coming to a close, refocusing on long-term prevention strategies becomes paramount. Given the very real threat of future filovirus outbreaks, and the inherent uncertainty of the next outbreak virus and geographic location, it is prudent to consider the extent and implications of known natural diversity in advancing vaccines and therapeutic approaches. To facilitate such consideration, we have updated and enhanced the content of the filovirus portion of Los Alamos Hemorrhagic Fever Viruses Database. We have integrated and performed baseline analysis of all family Filoviridae sequences deposited into GenBank, with associated immune response data, and metadata, and we have added new computational tools with web-interfaces to assist users with analysis. Here, we (i) describe the main features of updated database, (ii) provide integrated views and some basic analyses summarizing evolutionary patterns as they relate to geo-temporal data captured in the database and (iii) highlight the most conserved regions in the proteome that may be useful for a T cell vaccine strategy. Database URL: www.hfv.lanl.gov
has issue date	2016-04-21(xsd:dateTime)
bibo:doi	10.1093/database/baw047
bibo:pmid	27103629
has license	cc-by
sha1sum (hex)	0257e6797e12beb91a4a4fcd7130f90d84260718
schema:url	https://doi.org/10.1093/database/baw047
resource representing a document's title	Integrated sequence and immunology filovirus database at Los Alamos
has PubMed Central identifier	PMC4839628
has PubMed identifier	27103629
schema:publication	Database (Oxford)
resource representing a document's body	covid:0257e6797e12beb91a4a4fcd7130f90d84260718#body_text
is schema:about of	named entity 'filovirus' named entity 'SEQUENCE' named entity 'CITATION' named entity 'AUTHORS' named entity 'DATABASE' named entity 'IMMUNOLOGY' named entity 'LOS ALAMOS' named entity 'INTEGRATED' named entity 'DATABASE' named entity 'FILOVIRUS' named entity 'INTEGRATED' named entity 'IMMUNOLOGY' named entity 'LOS ALAMOS' named entity 'DETAILS' named entity 'WORK' named entity 'SEQUENCE' named entity 'FILOVIRUS' named entity '2CH' named entity 'FOLEY' named entity 'authors' named entity 'database' named entity 'details' named entity 'Los Alamos' named entity 'Los Alamos' named entity 'Los Alamos' named entity 'filovirus' named entity 'immunology' named entity 'database' named entity 'metadata' named entity 'Viruses' named entity 'Dutch' named entity 'viruses' named entity 'GenBank' named entity 'Genome' named entity 'infection' named entity 'metadata' named entity 'MVD' named entity 'Hepatitis C Virus' named entity 'Python' named entity 'phenotype' named entity 'Genome' named entity 'virus' named entity 'West Germany' named entity 'viruses' named entity 'virus' named entity 'filovirus' named entity 'viruses' named entity 'antibodies' named entity 'Marburg virus disease' named entity 'Western Africa' named entity 'vaccine design' named entity 'ebolaviruses' named entity 'Democratic Republic of the Congo' named entity 'cuevavirus' named entity 'NCBI' named entity 'mammals' named entity 'evolution' named entity 'HIV-1' named entity 'epitope' named entity 'phylogenetic analysis' named entity 'viral infections' named entity 'MVD' named entity 'biothreat' named entity 'EVD' named entity 'Filoviridae' named entity 'glycoprotein' named entity 'vaccine' named entity 'Viruses' named entity 'Genome' named entity 'coding regions' named entity 'WHO'

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