Evidence map›Paper›PMID 33279989›Full record

ArticleBriefings in bioinformatics2021

Next generation sequencing of SARS-CoV-2 genomes: challenges, applications and opportunities.

Matteo Chiara, Anna Maria D'Erchia, Carmela Gissi, Caterina Manzari, Antonio Parisi, Nicoletta Resta, Federico Zambelli, Ernesto Picardi, Giulio Pavesi, David S Horner and 1 more

Abstract readEditorial
In one paragraph

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 112 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
112citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

112 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Methods for safely sharing dual-use genetic data.Frontiers in microbiology · 2026
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  17. iSeq: an integrated tool to fetch public sequencing data.Bioinformatics (Oxford, England) · 2024
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52 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Matteo Chiaramolecular biology and bioinformatics at the University of Milan.
Anna Maria D'Erchiamolecular biology at the University of Bari and research associate at the Institute of Biomembranes, Bioenergetics and Molecular Biotechnologies of the National Research Council in Bari.
Carmela Gissimolecular biology at the University of Bari and research associate at the Institute of Biomembranes, Bioenergetics and Molecular Biotechnologies of the National Research Council in Bari.
Caterina ManzariInstitute of Biomembranes, Bioenergetics and Molecular Biotechnologies of the National Research Council in Bari.
Antonio ParisiGenetic and Molecular Epidemiology Laboratory at the Experimental Zooprophylactic Institute of Apulia and Basilicata.
Nicoletta RestaMedical Genetics at the University of Bari. She heads the Laboratory Unit of Medical Genetics and the School of Specialization in Medical Genetics.
Federico Zambellimolecular biology and bioinformatics at the University of Milan.
Ernesto Picardimolecular biology and bioinformatics at the University of Bari and research associate at the Institute of Biomembranes, Bioenergetics and Molecular Biotechnologies of the National Research Council in Bari.
Giulio PavesiAssociate Professor of bioinformatics at the University of Milan (Italy).
David S Hornermolecular biology and bioinformatics at the University of Milan.
Graziano Pesolemolecular biology at the University of Bari and Research Associate at the Institute of Biomembranes, Bioenergetics and Molecular Biotechnologies of the National Research Council in Bari.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Various next generation sequencing (NGS) based strategies have been successfully used in the recent past for tracing origins and understanding the evolution of infectious agents, investigating the spread and transmission chains of outbreaks, as well as facilitating the development of effective and rapid molecular diagnostic tests and contributing to the hunt for treatments and vaccines. The ongoing COVID-19 pandemic poses one of the greatest global threats in modern history and has already caused severe social and economic costs. The development of efficient and rapid sequencing methods to reconstruct the genomic sequence of SARS-CoV-2, the etiological agent of COVID-19, has been fundamental for the design of diagnostic molecular tests and to devise effective measures and strategies to mitigate the diffusion of the pandemic. Diverse approaches and sequencing methods can, as testified by the number of available sequences, be applied to SARS-CoV-2 genomes. However, each technology and sequencing approach has its own advantages and limitations. In the current review, we will provide a brief, but hopefully comprehensive, account of currently available platforms and methodological approaches for the sequencing of SARS-CoV-2 genomes. We also present an outline of current repositories and databases that provide access to SARS-CoV-2 genomic data and associated metadata. Finally, we offer general advice and guidelines for the appropriate sharing and deposition of SARS-CoV-2 data and metadata, and suggest that more efficient and standardized integration of current and future SARS-CoV-2-related data would greatly facilitate the struggle against this new pathogen. We hope that our 'vademecum' for the production and handling of SARS-CoV-2-related sequencing data, will contribute to this objective.

Indexed as

Genome, ViralCOVID-19High-Throughput Nucleotide SequencingHumansPandemicsSARS-CoV-2COVID-19data depositiondata integrationomics dataSARS-CoV-2sequencing technologies

Identifiers

PMID33279989
PMCPMC7799330

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.