ReviewComputers in biology and medicine2021
Recent trends on omics and bioinformatics approaches to study SARS-CoV-2: A bibliometric analysis and mini-review.
Review in Computers in biology and medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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
11 citing papers in PubMed.
- Global trends and hotspots in research for sudden hearing loss over the past two decades: a bibliometric and visualization analyses.Frontiers in neurology · 2025Review
- COVID-AMD database for coronavirus-infected animal models with comparative analysis tools.Scientific reports · 2024Article
- COVID-19 and Comorbidities: What Has Been Unveiled by Metabolomics?Metabolites · 2024Review
- Bio-Chemoinformatics-Driven Analysis of nsp7 and nsp8 Mutations and Their Effects on Viral Replication Protein Complex Stability.Current issues in molecular biology · 2024Article
- Sustainable and circular agro-environmental practices: A review of the management of agricultural waste biomass in Spain and the Czech Republic.Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA · 2023Review
- Management of the Organic Fraction of Municipal Solid Waste in the Context of a Sustainable and Circular Model: Analysis of Trends in Latin America and the Caribbean.International journal of environmental research and public health · 2022Review
- Bibliometric analysis of the inflammation in diabetic cardiomyopathy.Frontiers in cardiovascular medicine · 2022Article
- Research hotspots and trends of chordoma: A bibliometric analysis.Frontiers in oncology · 2022Article
- Metagenomic Pathogen Sequencing in Resource-Scarce Settings: Lessons Learned and the Road Ahead.Frontiers in epidemiology · 2022Article
- Bioinformatics helping to mitigate the impact of COVID-19 - Editorial.Briefings in bioinformatics · 2021Article
- Science mapping of COVID-19 contributions in primary health care by OECD countries: A machine learning approach.Digital healthArticle
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
backgroundThe successful sequencing of SARS-CoV-2 cleared the way for the use of omics technologies and integrative biology research for combating the COVID-19 pandemic. Currently, many research groups have slowed down their respective projects to concentrate efforts in the study of the biology of SARS-CoV-2. In this bibliometric analysis and mini-review, we aimed to describe how computational methods or omics approaches were used during the first months of the COVID-19 pandemic.
methodsWe analyzed bibliometric data from Scopus, BioRxiv, and MedRxiv (dated June 19th, 2020) using quantitative and knowledge mapping approaches. We complemented our analysis with a manual process of carefully reading the selected articles to identify either the omics or bioinformatic tools used and their purpose.
resultsFrom a total of 184 articles, we found that metagenomics and transcriptomics were the main sources of data to perform phylogenetic analysis aimed at corroborating zoonotic transmission, identifying the animal origin and taxonomic allocation of SARS-CoV-2. Protein sequence analysis, immunoinformatics and molecular docking were used to give insights about SARS-CoV-2 targets for drug and vaccine development. Most of the publications were from China and USA. However, China, Italy and India covered the top 10 most cited papers on this topic.
conclusionWe found an abundance of publications using omics and bioinformatics approaches to establish the taxonomy and animal origin of SARS-CoV-2. We encourage the growing community of researchers to explore other lesser-known aspects of COVID-19 such as virus-host interactions and host response.
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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.