Literature DB >> 33839742

Venn diagrams in bioinformatics.

Anqiang Jia1, Ling Xu2, Yi Wang1.   

Abstract

Venn diagrams are widely used tools for graphical depiction of the unions, intersections and distinctions among multiple datasets, and a large number of programs have been developed to generate Venn diagrams for applications in various research areas. However, a comprehensive review comparing these tools has not been previously performed. In this review, we collect Venn diagram generators (i.e. tools for visualizing the relationships of input lists within a Venn diagram) and Venn diagram application tools (i.e. tools for analyzing the relationships between biological data and visualizing them in a Venn diagram) to compare their functional capacity as follows: ability to generate high-quality diagrams; maximum datasets handled by each program; input data formats; output diagram styles and image output formats. We also evaluate the picture beautification parameters of the Venn diagram generators in terms of the graphical layout and briefly describe the functional characteristics of the most popular Venn diagram application tools. Finally, we discuss the challenges in improving Venn diagram application tools and provide a perspective on Venn diagram applications in bioinformatics. Our aim is to assist users in selecting suitable tools for analyzing and visualizing user-defined datasets.
© The Author(s) 2021. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Keywords:  Venn diagrams; application; generator; visualization

Year:  2021        PMID: 33839742     DOI: 10.1093/bib/bbab108

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  15 in total

1.  Protocol for Increasing the Sensitivity of MS-Based Protein Detection in Human Chorionic Villi.

Authors:  Timur Shkrigunov; Pavel Pogodin; Victor Zgoda; Olesya Larina; Yulia Kisrieva; Maria Klimenko; Oleg Latyshkevich; Peter Klimenko; Andrey Lisitsa; Natalia Petushkova
Journal:  Curr Issues Mol Biol       Date:  2022-05-09       Impact factor: 2.976

2.  Identification of Immune-Related Gene Signature in Stanford Type A Aortic Dissection.

Authors:  Zhaoshui Li; Jumiao Wang; Qiao Yu; Ruxin Shen; Kun Qin; Yu Zhang; Youjin Qiao; Yifan Chi
Journal:  Front Genet       Date:  2022-06-16       Impact factor: 4.772

3.  Network Pharmacology and Molecular Docking-Based Strategy to Investigate the Multitarget Mechanisms of Shenqi Yizhi Granule on Alzheimer's Disease.

Authors:  Linshuang Wang; Xiaoyu Xu; Zikang Wang; Qian Chen; Xiaodie Wei; Jingfan Xue; Zhanjun Zhang; Miao Wang; Yanping Li; Junying Zhang; Dongfeng Wei
Journal:  Evid Based Complement Alternat Med       Date:  2022-04-30       Impact factor: 2.650

4.  MicroRNA-642b-3p functions as an oncomiR in gastric cancer by down-regulating the CUB and sushi multiple domains protein 1/smad axis.

Authors:  Haofeng Liu; Yuan Chen; Linsen Zhou; Xiaohui Jiang; Xiaojun Zhou
Journal:  Bioengineered       Date:  2022-04       Impact factor: 6.832

5.  Identification of the Shared Gene Signatures and Biological Mechanism in Type 2 Diabetes and Pancreatic Cancer.

Authors:  Yifang Hu; Ni Zeng; Yaoqi Ge; Dan Wang; Xiaoxuan Qin; Wensong Zhang; Feng Jiang; Yun Liu
Journal:  Front Endocrinol (Lausanne)       Date:  2022-03-31       Impact factor: 5.555

6.  Two types of immune infiltrating cells and six hub genes can predict the occurrence of myasthenia gravis in patients with thymoma.

Authors:  Ziyou Tao; Chao Lu; Shuai Gao; Peng Zhang; Yuan Chen; Yuanguo Wang; Zhaoyu Yang; Kai Xiong; Yuxin Liu; Peng Zhang
Journal:  Bioengineered       Date:  2021-12       Impact factor: 3.269

7.  Construction and Verification of a Combined Hypoxia and Immune Index for Clear Cell Renal Cell Carcinoma.

Authors:  Bin Wang; Lixiao Liu; Jinting Wu; Xiaolu Mao; Zhen Fang; Yingyu Chen; Wenfeng Li
Journal:  Front Genet       Date:  2022-02-09       Impact factor: 4.599

8.  A Risk Model Based on Immune-Related Genes Predicts Prognosis and Characterizes the Immune Landscape in Esophageal Cancer.

Authors:  Yan Xie; Ruimin Fu; Zheng Xiao; Gang Li
Journal:  Pathol Oncol Res       Date:  2022-03-14       Impact factor: 3.201

9.  hsa_circ_0060975 is highly expressed and predicts a poor prognosis in gastric cancer.

Authors:  Peng Xu; Xiaolan Xu; Lixiang Zhang; Zhengnan Li; Jianjun Qiang; Jie Yao; Aman Xu
Journal:  Oncol Lett       Date:  2021-06-24       Impact factor: 2.967

10.  An Improved Fusion Paired Group Lasso Structured Sparse Canonical Correlation Analysis Based on Brain Imaging Genetics to Identify Biomarkers of Alzheimer's Disease.

Authors:  Shuaiqun Wang; Xinqi Wu; Kai Wei; Wei Kong
Journal:  Front Aging Neurosci       Date:  2022-01-06       Impact factor: 5.750

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