Evidence map›Paper›PMID 38333729›Full record

ArticleHorticulture research2024

DataColor: unveiling biological data relationships through distinctive color mapping.

Shuang He, Wei Dong, Junhao Chen, Junyu Zhang, Weiwei Lin, Shuting Yang, Dong Xu, Yuhan Zhou, Benben Miao, Wenquan Wang and 1 more

Abstract read
In one paragraph

Article in Horticulture research, 2024. 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.

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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

11 authors.

Shuang HeSanya Institute of Breeding and Multiplication, National Key Laboratory for Tropical Crop Breeding, Hainan University, Sanya 572025, China.
Wei DongHospital of Stomatology, Guanghua School of Stomatology, Guangdong Provincial Key Laboratory of Stomatology, Sun Yat-Sen University, Guangzhou 510055, China.
Junhao ChenDepartment of Biology, Saint Louis University, St Louis, MO 63103, USA.ORCID https://orcid.org/0000-0002-7375-0211
Junyu ZhangSanya Institute of Breeding and Multiplication, National Key Laboratory for Tropical Crop Breeding, Hainan University, Sanya 572025, China.
Weiwei LinMerkle Business Information Consultancy (Nanjing) Co., Ltd, Nanjing 210032, China.
Shuting YangSanya Institute of Breeding and Multiplication, National Key Laboratory for Tropical Crop Breeding, Hainan University, Sanya 572025, China.
Dong XuShenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China.
Yuhan ZhouState Key Laboratory of Rice Biology & Breeding, Zhejiang Provincial Key Laboratory of Crop Germplasm, The Advanced Seed Institute, Zhejiang University, Hangzhou 310058, China.
Benben MiaoCollege of Ocean and Earth Sciences, Xiamen University, Xiamen 361102, Fujian, China.
Wenquan WangSanya Institute of Breeding and Multiplication, National Key Laboratory for Tropical Crop Breeding, Hainan University, Sanya 572025, China.
Fei ChenSanya Institute of Breeding and Multiplication, National Key Laboratory for Tropical Crop Breeding, Hainan University, Sanya 572025, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the era of rapid advancements in high-throughput omics technologies, the visualization of diverse data types with varying orders of magnitude presents a pressing challenge. To bridge this gap, we introduce DataColor, an all-encompassing software solution meticulously crafted to address this challenge. Our aim is to empower users with the ability to handle a wide array of data types through an assortment of tools, while simultaneously streamlining parameter selection for rapid insights and detailed enhancements. DataColor stands as a robust toolkit, encompassing 23 distinct tools coupled with over 600 parameters. The defining characteristic of this toolkit is its adept utilization of the color spectrum, allowing for the representation of data spanning diverse types and magnitudes. Through the integration of advanced algorithms encompassing data clustering, normalization, squarified layouts, and customizable parameters, DataColor unveils an abundance of insights that lay hidden within the intricate relationships embedded in the data. Whether you find yourself navigating the analysis of expansive datasets or embarking on the quest to visualize intricate patterns, DataColor stands as the comprehensive and potent solution. We extend the availability of DataColor to all users at no cost, accessible through the following link: https://github.com/frankgenome/DataColor.

Identifiers

PMID38333729
PMCPMC10852383

What OpenQuestion holds

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Registered trials

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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.