Evidence map›Paper›PMID 33735949›Full record

ArticleJournal of integrative bioinformatics2021

OverCOVID: an integrative web portal for SARS-CoV-2 bioinformatics resources.

Md Asif Ahsan, Yongjing Liu, Cong Feng, Ralf Hofestädt, Ming Chen

Open access · diamondAbstract read
In one paragraph

Article in Journal of integrative bioinformatics, 2021. 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
0.7field-weighted citation impact, top 27% 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, 11 citations in OpenAlex.

  1. BGRS: bioinformatics of genome regulation and data integration.Journal of integrative bioinformatics · 2023
    Article
  2. Review
  3. CoVMBiomolecules · 2022
    Article
  4. Article
  5. Article
  6. COVIDium: a COVID-19 resource compendium.Database : the journal of biological databases and curation · 2021
    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

5 authors at 2 institutions in 2 countries.

Md Asif AhsanDepartment of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou, 310058, China.
Yongjing LiuDepartment of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou, 310058, China.
Cong FengDepartment of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou, 310058, China.
Ralf HofestädtBielefeld University, Faculty of Technology, Bioinformatics and Medical Informatics Department, Bielefeld, Germany.
Ming ChenDepartment of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou, 310058, China.
Zhejiang University · CNBielefeld University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Outbreaks of COVID-19 caused by the novel coronavirus SARS-CoV-2 is still a threat to global human health. In order to understand the biology of SARS-CoV-2 and developing drug against COVID-19, a vast amount of genomic, proteomic, interatomic, and clinical data is being generated, and the bioinformatics researchers produced databases, webservers and tools to gather those publicly available data and provide an opportunity of analyzing such data. However, these bioinformatics resources are scattered and researchers need to find them from different resources discretely. To facilitate researchers in finding the resources in one frame, we have developed an integrated web portal called OverCOVID (http://bis.zju.edu.cn/overcovid/). The publicly available webservers, databases and tools associated with SARS-CoV-2 have been incorporated in the resource page. In addition, a network view of the resources is provided to display the scope of the research. Other information like SARS-CoV-2 strains is visualized and various layers of interaction resources is listed in distinct pages of the web portal. As an integrative web portal, the OverCOVID will help the scientist to search the resources and accelerate the clinical research of SARS-CoV-2.

Indexed as

COVID-19Databases, FactualInternetComputational BiologyHumansProteomicsSARS-CoV-2bioinformatics resourcescoronavirusCOVID-19SARS-CoV-2

Identifiers

PMID33735949
PMCPMC8035963
OpenAlexW3137520725

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.