ReviewMeta gene2021
Essential interpretations of bioinformatics in COVID-19 pandemic.
Review in Meta gene, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- Tailoring treatments: pharmacogenomics in the management of neurodegenerative diseases.Acta neurologica Belgica · 2026Review
- GenoDense-Net: unraveling the genomic puzzle of the global pathogen.Tropical diseases, travel medicine and vaccines · 2025Article
- EpiMolBio: A novel user-friendly bioinformatic program for genetic variability analysis.Computational and structural biotechnology journal · 2025Article
- Considerations for Severe Acute Respiratory Syndrome Coronavirus 2 Genomic Surveillance: A Joint Consensus Recommendation of the Association for Molecular Pathology and Association of Public Health Laboratories.The Journal of molecular diagnostics : JMD · 2025Review
- Real-time infectious disease endurance indicator system for scientific decisions using machine learning and rapid data processing.PeerJ. Computer science · 2024Article
- COVID Variants, Villain and Victory: A Bioinformatics Perspective.Microorganisms · 2023Article
- Johann Gregor Mendel: the victory of statistics over human imagination.European journal of human genetics : EJHG · 2023Review
- Analysis of Persian Bioinformatics Research with Topic Modeling.BioMed research international · 2023Article
- Modern drug discovery applications for the identification of novel candidates for COVID-19 infections.Annals of medicine and surgery (2012) · 2022Review
- Bioinformatics Accelerates the Major Tetrad: A Real Boost for the Pharmaceutical Industry.International journal of molecular sciences · 2021Review
- Bioinformatics helping to mitigate the impact of COVID-19 - Editorial.Briefings in bioinformatics · 2021Article
- Prediction of the Effects of Variants and Differential Expression of Key Host GenesBioinformatics and biology insights · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The currently emerging pathogen SARS-CoV-2 has produced the global pandemic crisis by causing COVID-19. The unique and novel genetic makeup of SARS-CoV-2 has created hurdles in biological research, due to which the potential drug/vaccine candidates have not yet been discovered by the scientific community. Meanwhile, the advantages of bioinformatics in viral research had created a milestone since last few decades. The exploitation of bioinformatics tools and techniques has successfully interpreted this viral genomics architecture. Some major in silico studies involving next-generation sequencing, genome-wide association studies, computer-aided drug design etc. have been effectively applied in COVID-19 research methodologies and discovered novel information on SARS-CoV-2 in several ways. Nowadays the implementation of in silico studies in COVID-19 research has not only sequenced the SARS-CoV-2 genome but also properly analyzed the sequencing errors, evolutionary relationship, genetic variations, putative drug candidates against SARS-CoV-2 viral genes etc. within a very short time period. These would be very needful towards further research on COVID-19 pandemic and essential for vaccine development against SARS-CoV-2 which will save public health.
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.