ArticleMolecular cell2020
MINERVA: A Facile Strategy for SARS-CoV-2 Whole-Genome Deep Sequencing of Clinical Samples.
Article in Molecular cell, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.
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, 3 syntheses or guidelines pooled it.
- Local genomic epidemiology investigations of SARS-CoV-2 during the early pandemic response: A global systematic review.Epidemiology and infection · 2026Pooled it
- Detection of respiratory viruses directly from clinical samples using next-generation sequencing: A literature review of recent advances and potential for routine clinical use.Reviews in medical virology · 2022Pooled it
- Antibody tests for identification of current and past infection with SARS-CoV-2.The Cochrane database of systematic reviews · 2020Pooled it
- Review
- Prognostic prediction in COVID-19 patients: a comprehensive analysis of gut microbiota and hematological biomarkers.Virus research · 2026Article
- vPro-MS enables identification of human-pathogenic viruses from patient samples by untargeted proteomics.Nature communications · 2025Article
- Assessment of microbiota in the gut and upper respiratory tract associated with SARS-CoV-2 infection.Microbiome · 2023Article
- Rapid and sensitive single-cell RNA sequencing with SHERRY2.BMC biology · 2022Article
- Receptor-Binding-Motif-Targeted Sanger Sequencing: a Quick and Cost-Effective Strategy for Molecular Surveillance of SARS-CoV-2 Variants.Microbiology spectrum · 2022Article
- Rapid and Accurate Detection of SARS Coronavirus 2 by Nanopore Amplicon Sequencing.Frontiers in microbiology · 2022Article
- COVseq is a cost-effective workflow for mass-scale SARS-CoV-2 genomic surveillance.Nature communications · 2021Article
- Phylogenomic tracing of asymptomatic transmission in a COVID-19 outbreak.Innovation (Cambridge (Mass.)) · 2021Article
- COVID-19 reinfection in the presence of neutralizing antibodies.National science review · 2021Article
- Genomic surveillance of COVID-19 cases in Beijing.Nature communications · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Analyzing the genome of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) from clinical samples is crucial for understanding viral spread and evolution as well as for vaccine development. Existing RNA sequencing methods are demanding on user technique and time and, thus, not ideal for time-sensitive clinical samples; these methods are also not optimized for high performance on viral genomes. We developed a facile, practical, and robust approach for metagenomic and deep viral sequencing from clinical samples. We demonstrate the utility of our approach on pharyngeal, sputum, and stool samples collected from coronavirus disease 2019 (COVID-19) patients, successfully obtaining whole metatranscriptomes and complete high-depth, high-coverage SARS-CoV-2 genomes with high yield and robustness. With a shortened hands-on time from sample to virus-enriched sequencing-ready library, this rapid, versatile, and clinic-friendly approach will facilitate molecular epidemiology studies during current and future outbreaks.
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.