Evidence map›Paper›PMID 40078223›Full record

ReviewBiosafety and health2023

On the collection and integration of SARS-CoV-2 genome data.

Lina Ma, Wei Zhao, Tianhao Huang, Enhui Jin, Gangao Wu, Wenming Zhao, Yiming Bao

Abstract readReview
In one paragraph

Review in Biosafety and health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. GenBase: A Nucleotide Sequence Database.Genomics, proteomics & bioinformatics · 2024
    Article
  2. Article
  3. Article
  4. 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.

Lina MaChina National Center for Bioinformation, Beijing 100101, China.
Wei ZhaoChina National Center for Bioinformation, Beijing 100101, China.
Tianhao HuangChina National Center for Bioinformation, Beijing 100101, China.
Enhui JinChina National Center for Bioinformation, Beijing 100101, China.
Gangao WuChina National Center for Bioinformation, Beijing 100101, China.
Wenming ZhaoChina National Center for Bioinformation, Beijing 100101, China.
Yiming BaoChina National Center for Bioinformation, Beijing 100101, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome data of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is essential for virus diagnosis, vaccine development, and variant surveillance. To archive and integrate worldwide SARS-CoV-2 genome data, a series of resources have been constructed, serving as a fundamental infrastructure for SARS-CoV-2 research, pandemic prevention and control, and coronavirus disease 2019 (COVID-19) therapy. Here we present an overview of extant SARS-CoV-2 resources that are devoted to genome data deposition and integration. We review deposition resources in data accessibility, metadata standardization, data curation and annotation; review integrative resources in data source, de-redundancy processing, data curation and quality assessment, and variant annotation. Moreover, we address issues that impede SARS-CoV-2 genome data integration, including low-complexity, inconsistency and absence of isolate name, sequence inconsistency, asynchronous update of genome data, and mismatched metadata. We finally provide insights into data standardization consensus and data submission guidelines, to promote SARS-CoV-2 genome data sharing and integration.

Indexed as

Data curationData depositionData integrationGenome dataSARS-CoV-2 resource

Identifiers

PMID40078223
PMCPMC11894986

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.