Evidence map›Paper›PMID 30186253›Full record

ArticleFrontiers in microbiology2018

PGAweb: A Web Server for Bacterial Pan-Genome Analysis.

Xinyu Chen, Yadong Zhang, Zhewen Zhang, Yongbing Zhao, Chen Sun, Ming Yang, Jinyue Wang, Qian Liu, Baohua Zhang, Meili Chen and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

20 citing papers in PubMed, 36 citations in OpenAlex.

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  13. Genomic and phenotypic biology of a novelFrontiers in microbiology · 2022
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  17. First Steps in the Analysis of Prokaryotic Pan-Genomes.Bioinformatics and biology insights · 2020
    Review
  18. Article
  19. 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

14 authors at 6 institutions in 2 countries.

Xinyu ChenComputer Network Information Center, Chinese Academy of Sciences, Beijing, China.
Yadong ZhangBIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.
Zhewen ZhangBIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.
Yongbing ZhaoLymphocyte Nuclear Biology, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, MD, United States.
Chen SunDepartment of Computer Science and Engineering, The Pennsylvania State University, University Park, PA, United States.
Ming YangOffice of General Affairs, Chinese Academy of Sciences, Beijing, China.
Jinyue WangBIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.
Qian LiuComputer Network Information Center, Chinese Academy of Sciences, Beijing, China.
Baohua ZhangComputer Network Information Center, Chinese Academy of Sciences, Beijing, China.
Meili ChenBIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.
Jun YuCAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.
Jiayan WuCAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.
Zhong JinComputer Network Information Center, Chinese Academy of Sciences, Beijing, China.
Jingfa XiaoBIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.
Chinese Academy of Sciences · CNBeijing Institute of Genomics · CNComputer Network Information Center · CNNational Institute of Arthritis and Musculoskeletal and Skin Diseases · USPennsylvania State University · USUniversity of Chinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An astronomical increase in microbial genome data in recent years has led to strong demand for bioinformatic tools for pan-genome analysis within and across species. Here, we present PGAweb, a user-friendly, web-based tool for bacterial pan-genome analysis, which is composed of two main pan-genome analysis modules, PGAP and PGAP-X. PGAweb provides key interactive and customizable functions that include orthologous clustering, pan-genome profiling, sequence variation and evolution analysis, and functional classification. PGAweb presents features of genomic structural dynamics and sequence diversity with different visualization methods that are helpful for intuitively understanding the dynamics and evolution of bacterial genomes. PGAweb has an intuitive interface with one-click setting of parameters and is freely available at http://PGAweb.vlcc.cn/.

Indexed as

bacterial pan-genome analysisgenome dynamics visualizationgenome structure interpretationorthologous gene identificationweb server

Identifiers

PMID30186253
PMCPMC6110895
OpenAlexW2888560545

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.