ReviewBriefings in bioinformatics2021
A review on viral data sources and search systems for perspective mitigation of COVID-19.
Review in Briefings in bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed.
- Bioengineering hybrid artificial life.Frontiers in bioinformatics · 2025Review
- Bioinformatics Goes Viral: I. Databases, Phylogenetics and Phylodynamics Tools for Boosting Virus Research.Viruses · 2024Review
- Advancing healthcare through data: the BETTER project's vision for distributed analytics.Frontiers in medicine · 2024Article
- Article
- Review
- Web Resources for SARS-CoV-2 Genomic Database, Annotation, Analysis and Variant Tracking.Viruses · 2023Review
- Semantic interoperability: ontological unpacking of a viral conceptual model.BMC bioinformatics · 2022Article
- CoV2K model, a comprehensive representation of SARS-CoV-2 knowledge and data interplay.Scientific data · 2022Article
- Advancing genomic epidemiology by addressing the bioinformatics bottleneck: Challenges, design principles, and a Swiss example.Epidemics · 2022Article
- Study of the SARS-CoV-2 genomic data generation to evaluate the introduction of genomics in epidemiological surveillance and public health decision making.The Pan African medical journal · 2022Article
- VirusLab: A Tool for Customized SARS-CoV-2 Data Analysis.Biotech (Basel (Switzerland)) · 2021Article
- Structure-based drug repurposing against COVID-19 and emerging infectious diseases: methods, resources and discoveries.Briefings in bioinformatics · 2021Article
- COVID-19: why not learn from the past?Frontiers of medicine · 2021Article
- MEDIATE - Molecular DockIng at homE: Turning collaborative simulations into therapeutic solutions.Expert opinion on drug discoveryArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
With the outbreak of the COVID-19 disease, the research community is producing unprecedented efforts dedicated to better understand and mitigate the effects of the pandemic. In this context, we review the data integration efforts required for accessing and searching genome sequences and metadata of SARS-CoV2, the virus responsible for the COVID-19 disease, which have been deposited into the most important repositories of viral sequences. Organizations that were already present in the virus domain are now dedicating special interest to the emergence of COVID-19 pandemics, by emphasizing specific SARS-CoV2 data and services. At the same time, novel organizations and resources were born in this critical period to serve specifically the purposes of COVID-19 mitigation while setting the research ground for contrasting possible future pandemics. Accessibility and integration of viral sequence data, possibly in conjunction with the human host genotype and clinical data, are paramount to better understand the COVID-19 disease and mitigate its effects. Few examples of host-pathogen integrated datasets exist so far, but we expect them to grow together with the knowledge of COVID-19 disease; once such datasets will be available, useful integrative surveillance mechanisms can be put in place by observing how common variants distribute in time and space, relating them to the phenotypic impact evidenced in the literature.
Indexed as
Identifiers
What Socratic 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 Socratic graph.