Evidence map›Paper›PMID 38868708›Full record

ArticleiMeta2022

A painless way to customize Circos plot: From data preparation to visualization using TBtools.

Chengjie Chen, Ya Wu, Rui Xia

Abstract read
In one paragraph

Article in iMeta, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers.

0numbers the graph read from it
0cells of the map it votes in
79citing 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

79 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. A CaPlants (Basel, Switzerland) · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

19 more citing papers are in PubMed but not listed here.

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

3 authors.

Chengjie ChenState Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources South China Agricultural University Guangzhou China.ORCID https://orcid.org/0000-0001-5964-604X
Ya WuState Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources South China Agricultural University Guangzhou China.
Rui XiaState Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources South China Agricultural University Guangzhou China.ORCID https://orcid.org/0000-0003-2409-1181

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circos plots enable scientists to easily inspect big biological data genome-widely on a macroscopic scale, but cumbersome preparation of input data and complex parameter configuration limits its application. We have developed the "Advanced Circos" function in TBtools, to provide a simple way to construct Circos plots. As an out-of-the-box combo toolkit, TBtools has integrated a set of functions convenient for input data preparation. The "Advanced Circos" function is supplied with a user-friendly interface for the customization of parameter settings and can be deployed to visualize all kinds of genomic data, such as genomic associations, alignment data, gene density, and QTL locations. In the present article, we introduce the main features of "Advance Circos" and the protocols of upstream data preparation, aiming to endow more users with the ability to use Circos plots in big genomic data exploration.

Indexed as

Circosdata visualizationgenome scaleTBtools

Identifiers

PMID38868708
PMCPMC10989971

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.