Evidence map›Paper›PMID 34629071›Full record

ArticleBMC bioinformatics2021

CoolBox: a flexible toolkit for visual analysis of genomics data.

Weize Xu, Quan Zhong, Da Lin, Ya Zuo, Jinxia Dai, Guoliang Li, Gang Cao

Abstract read
In one paragraph

Article in BMC bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 citing papers in PubMed.

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  13. High-throughputbioRxiv : the preprint server for biology · 2025
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  18. Quantifying the impact of genetic mutations on enhancer dynamics.bioRxiv : the preprint server for biology · 2025
    Article
  19. Article
  20. 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.

Weize XuCollege of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China.
Quan ZhongCollege of Informatics, Huazhong Agricultural University, Wuhan, China.
Da LinCollege of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China.
Ya ZuoCollege of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China.
Jinxia DaiCollege of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China.
Guoliang LiCollege of Informatics, Huazhong Agricultural University, Wuhan, China. guoliang.li@mail.hzau.edu.cn.
Gang CaoCollege of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China. gcao@mail.hzau.edu.cn.

Funding

China Postdoctoral Science Foundation 2019M662676National Natural Science Foundation of China 31702196National Natural Science Foundation of China 31941005National Natural Science Foundation of China 31941014The Key Research and Development Program of Guangdong Province 2019B020211003
6 · The paper itself

Abstract

backgroundData visualization, especially the genome track plots, is crucial for genomics researchers to discover patterns in large-scale sequencing dataset. Although existing tools works well for producing a normal view of the input data, they are not convenient when users want to create customized data representations. Such gap between the visualization and data processing, prevents the users to uncover more hidden structure of the dataset.

resultsWe developed CoolBox-an open-source toolkit for visual analysis of genomics data. This user-friendly toolkit is highly compatible with the Python ecosystem and customizable with a well-designed user interface. It can be used in various visualization situations like a Swiss army knife. For example, to produce high-quality genome track plots or fetch commonly used genomic data files with a Python script or command line, to explore genomic data interactively within Jupyter environment or web browser. Moreover, owing to the highly extensible Application Programming Interface design, users can customize their own tracks without difficulty, which greatly facilitate analytical, comparative genomic data visualization tasks.

conclusionsCoolBox allows users to produce high-quality visualization plots and explore their data in a flexible, programmable and user-friendly way.

Indexed as

EcosystemGenomicsGenomeSoftwareWeb BrowserGenome browserGenomicsVisualization

Identifiers

PMID34629071
PMCPMC8504052

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.