Evidence map›Paper›PMID 33205830›Full record

ArticleJournal of medical virology2021

Coronapp: A web application to annotate and monitor SARS-CoV-2 mutations.

Daniele Mercatelli, Luca Triboli, Eleonora Fornasari, Forest Ray, Federico M Giorgi

Open access · bronzeAbstract read
In one paragraph

Article in Journal of medical virology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
2.1field-weighted citation impact, top 7% 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

55 citing papers in PubMed, 100 citations in OpenAlex.

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  15. Genomic Surveillance of SARS-CoV-2 Variants in the Dominican Republic and Emergence of a Local Lineage.International journal of environmental research and public health · 2023
    Article
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  18. Applying the digital data and the bioinformatics tools in SARS-CoV-2 research.Computational and structural biotechnology journal · 2023
    Review
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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

5 authors at 2 institutions in 2 countries.

Daniele MercatelliDepartment of Pharmacy and Biotechnology, University of Bologna, Bologna, Italy.
Luca TriboliDepartment of Pharmacy and Biotechnology, University of Bologna, Bologna, Italy.
Eleonora FornasariDepartment of Pharmacy and Biotechnology, University of Bologna, Bologna, Italy.
Forest RayDepartment of Systems Biology, Columbia University Medical Center, New York City, New York, USA.
Federico M GiorgiDepartment of Pharmacy and Biotechnology, University of Bologna, Bologna, Italy.ORCID 0000-0002-7325-9908
University of Bologna · ITColumbia University Irving Medical Center · US

Funding

CINECA HP10CC5F89Ministero dell'Istruzione, dell'Università e della Ricerca Montalcini 2016
6 · The paper itself

Abstract

The avalanche of genomic data generated from the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus requires the development of tools to detect and monitor its mutations across the world. Here, we present a webtool, coronapp, dedicated to easily processing user-provided SARS-CoV-2 genomic sequences and visualizing the current worldwide status of SARS-CoV-2 mutations. The webtool allows users to highlight mutations and categorize them by frequency, country, genomic location and effect on protein sequences, and to monitor their presence in the population over time. The tool is available at http://giorgilab.unibo.it/coronannotator/ for the annotation of user-provided sequences. The full code is freely shared at https://github.com/federicogiorgi/giorgilab/tree/master/coronannotator.

Indexed as

Genome, ViralMutationAmino Acid SequenceCOVID-19GenomicsHumansSARS-CoV-2COVID-19geneticsmutationsSARS-CoV-2web application

Identifiers

PMID33205830
PMCPMC7753722
OpenAlexW3104938080

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.