ArticleBriefings in bioinformatics2021
Bioinformatics resources for SARS-CoV-2 discovery and surveillance.
Article 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 29 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
29 citing papers in PubMed.
- Article
- Concurrent severe fever with thrombocytopenia syndrome virus outbreaks on multiple fox farms, China, 2023.Emerging microbes & infections · 2025Article
- Analytical Performance of a Novel Nanopore Sequencing for SARS-CoV-2 Genomic Surveillance.Journal of medical virology · 2024Article
- UnCoVar: a reproducible and scalable workflow for transparent and robust virus variant calling and lineage assignment using SARS-CoV-2 as an example.BMC genomics · 2024Article
- Phylo-geo haplotype network-based characterization of SARS-CoV-2 strains circulating in India (2020-2022).The Indian journal of medical research · 2024Article
- Development and application of EpitopeScan, a Python3 toolset for mutation tracking in SARS-CoV-2 immunogenic epitopes.Frontiers in immunology · 2024Article
- Introduction, Dispersal, and Predominance of SARS-CoV-2 Delta Variant in Rio Grande do Sul, Brazil: A Retrospective Analysis.Microorganisms · 2023Article
- Article
- COVID Variants, Villain and Victory: A Bioinformatics Perspective.Microorganisms · 2023Article
- Web Resources for SARS-CoV-2 Genomic Database, Annotation, Analysis and Variant Tracking.Viruses · 2023Review
- Computational Protein Design for COVID-19 Research and Emerging Therapeutics.ACS central science · 2023Review
- Application of Phylodynamic Tools to Inform the Public Health Response to COVID-19: Qualitative Analysis of Expert Opinions.JMIR formative research · 2023Article
- CurSa: scripts to curate metadata and sample genomes from GISAID for analysis and display in nextstrain and microreact.Biology methods & protocols · 2023Article
- Applying the digital data and the bioinformatics tools in SARS-CoV-2 research.Computational and structural biotechnology journal · 2023Review
- An outbreak of a novel recombinant Coxsackievirus A4 in a kindergarten, Shandong province, China, 2021.Emerging microbes & infections · 2022Article
- Hybrid Approach to Identifying Druglikeness Leading Compounds against COVID-19 3CL Protease.Pharmaceuticals (Basel, Switzerland) · 2022Article
- RT-PCR/MALDI-TOF Diagnostic Target Performance Reflects Circulating SARS-CoV-2 Variant Diversity in New York City.The Journal of molecular diagnostics : JMD · 2022Article
- Novel astrovirus and paramyxovirus in Mongolian gerbils (Zoological research · 2022Article
- Robust clinical detection of SARS-CoV-2 variants by RT-PCR/MALDI-TOF multitarget approach.Journal of medical virology · 2022Article
- Identification of a novel hepacivirus in Mongolian gerbil (Meriones unguiculatus) from Shaanxi, China.Virologica Sinica · 2022Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In early January 2020, the novel coronavirus (SARS-CoV-2) responsible for a pneumonia outbreak in Wuhan, China, was identified using next-generation sequencing (NGS) and readily available bioinformatics pipelines. In addition to virus discovery, these NGS technologies and bioinformatics resources are currently being employed for ongoing genomic surveillance of SARS-CoV-2 worldwide, tracking its spread, evolution and patterns of variation on a global scale. In this review, we summarize the bioinformatics resources used for the discovery and surveillance of SARS-CoV-2. We also discuss the advantages and disadvantages of these bioinformatics resources and highlight areas where additional technical developments are urgently needed. Solutions to these problems will be beneficial not only to the prevention and control of the current COVID-19 pandemic but also to infectious disease outbreaks of the future.
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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.