ArticleDatabase : the journal of biological databases and curation2015
An Ebola virus-centered knowledge base.
Article in Database : the journal of biological databases and curation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 17 citations in OpenAlex.
- KGen: a knowledge graph generator from biomedical scientific literature.BMC medical informatics and decision making · 2020Article
- Immunological Perspective for Ebola Virus Infection and Various Treatment Measures Taken to Fight the Disease.Pathogens (Basel, Switzerland) · 2020Review
- KGHC: a knowledge graph for hepatocellular carcinoma.BMC medical informatics and decision making · 2020Article
- Enabling Web-scale data integration in biomedicine through Linked Open Data.NPJ digital medicine · 2019Review
- EpiK: A Knowledge Base for Epidemiological Modeling and Analytics of Infectious Diseases.Journal of healthcare informatics research · 2017Article
- PhLeGrA: Graph Analytics in Pharmacology over the Web of Life Sciences Linked Open Data.Proceedings of the ... International World-Wide Web Conference. International WWW Conference · 2017Article
- viruSITE-integrated database for viral genomics.Database : the journal of biological databases and curation · 2016Article
- From data to decisions: The vital role of digital epidemiology for strengthening public health.Digital healthReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ebola virus (EBOV), of the family Filoviridae viruses, is a NIAID category A, lethal human pathogen. It is responsible for causing Ebola virus disease (EVD) that is a severe hemorrhagic fever and has a cumulative death rate of 41% in the ongoing epidemic in West Africa. There is an ever-increasing need to consolidate and make available all the knowledge that we possess on EBOV, even if it is conflicting or incomplete. This would enable biomedical researchers to understand the molecular mechanisms underlying this disease and help develop tools for efficient diagnosis and effective treatment. In this article, we present our approach for the development of an Ebola virus-centered Knowledge Base (Ebola-KB) using Linked Data and Semantic Web Technologies. We retrieve and aggregate knowledge from several open data sources, web services and biomedical ontologies. This knowledge is transformed to RDF, linked to the Bio2RDF datasets and made available through a SPARQL 1.1 Endpoint. Ebola-KB can also be explored using an interactive Dashboard visualizing the different perspectives of this integrated knowledge. We showcase how different competency questions, asked by domain users researching the druggability of EBOV, can be formulated as SPARQL Queries or answered using the Ebola-KB Dashboard.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.