Evidence map›Paper›PMID 35309411›Full record

ArticleJMIR bioinformatics and biotechnology

The Easy-to-Use SARS-CoV-2 Assembler for Genome Sequencing: Development Study.

Martina Rueca, Emanuela Giombini, Francesco Messina, Barbara Bartolini, Antonino Di Caro, Maria Rosaria Capobianchi, Cesare Em Gruber

Open access · diamondAbstract read
In one paragraph

Article in JMIR bioinformatics and biotechnology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 26% of its field
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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Antiviral and Monoclonal Antibody Combination Therapy in Haematological Patients in the Omicron Era.Mediterranean journal of hematology and infectious diseases · 2024
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
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

7 authors at 1 institution in 1 country.

Martina RuecaLaboratory of Virology and Biosafety Laboratories National Institute for Infectious Diseases "Lazzaro Spallanzani" Istituto di Ricovero e Cura a Carattere Scientifico Rome Italy.ORCID https://orcid.org/0000-0001-5162-046X
Emanuela GiombiniLaboratory of Virology and Biosafety Laboratories National Institute for Infectious Diseases "Lazzaro Spallanzani" Istituto di Ricovero e Cura a Carattere Scientifico Rome Italy.ORCID https://orcid.org/0000-0003-2237-9755
Francesco MessinaLaboratory of Microbiology and Biological Bank National Institute for Infectious Diseases "Lazzaro Spallanzani" Istituto di Ricovero e Cura a Carattere Scientifico Rome Italy.ORCID https://orcid.org/0000-0001-8076-7217
Barbara BartoliniLaboratory of Microbiology and Biological Bank National Institute for Infectious Diseases "Lazzaro Spallanzani" Istituto di Ricovero e Cura a Carattere Scientifico Rome Italy.ORCID https://orcid.org/0000-0003-3882-3996
Antonino Di CaroLaboratory of Microbiology and Biological Bank National Institute for Infectious Diseases "Lazzaro Spallanzani" Istituto di Ricovero e Cura a Carattere Scientifico Rome Italy.ORCID https://orcid.org/0000-0001-6027-3009
Maria Rosaria CapobianchiLaboratory of Virology and Biosafety Laboratories National Institute for Infectious Diseases "Lazzaro Spallanzani" Istituto di Ricovero e Cura a Carattere Scientifico Rome Italy.ORCID https://orcid.org/0000-0003-3465-0071
Cesare Em GruberLaboratory of Virology and Biosafety Laboratories National Institute for Infectious Diseases "Lazzaro Spallanzani" Istituto di Ricovero e Cura a Carattere Scientifico Rome Italy.ORCID https://orcid.org/0000-0002-8831-3380
Istituto Nazionale per le Malattie Infettive Lazzaro Spallanzani · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Early sequencing and quick analysis of the SARS-CoV-2 genome have contributed to the understanding of the dynamics of COVID-19 epidemics and in designing countermeasures at a global level. Objective: Amplicon-based next-generation sequencing (NGS) methods are widely used to sequence the SARS-CoV-2 genome and to identify novel variants that are emerging in rapid succession as well as harboring multiple deletions and amino acid-changing mutations. Methods: To facilitate the analysis of NGS sequencing data obtained from amplicon-based sequencing methods, here, we propose an easy-to-use SARS-CoV-2 genome assembler: the Easy-to-use SARS-CoV-2 Assembler (ESCA) pipeline. Results: Our results have shown that ESCA could perform high-quality genome assembly from Ion Torrent and Illumina raw data and help the user in easily correct low-coverage regions. Moreover, ESCA includes the possibility of comparing assembled genomes of multisample runs through an easy table format. Conclusions: In conclusion, ESCA automatically furnished a variant table output file, fundamental to rapidly recognizing variants of interest. Our pipeline could be a useful method for obtaining a complete, rapid, and accurate analysis even with minimal knowledge in bioinformatics.

Indexed as

algorithmsbioinformaticbioinformatics toolCOVID-19digital toolsgenomehealth informaticsNGS data analysisSARS-CoV-2 genome

Identifiers

PMID35309411
PMCPMC8924907
OpenAlexW4210296881

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.