ImageGP 2 for enhanced data visualization and reproducible analysis in biomedical research
Tong Chen,
Yong‐Xin Liu,
Tao Chen,
Mei Yang,
Siqing Fan,
Minglei Shi,
Buqing Wei,
Huijiao Lv,
Wandi Cao,
Chongming Wang,
Jianzhou Cui,
Jiwen Zhao,
Yilai Han,
Jiao Xi,
Ziqiang Zheng,
Luqi Huang
Affiliations
Tong Chen
State Key Laboratory for Quality Ensurance and Sustainable Use of Dao‐di Herbs, National Resource Center for Chinese Materia Medica China Academy of Chinese Medical Sciences Beijing China
Yong‐Xin Liu
Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen Chinese Academy of Agricultural Sciences Shenzhen China
Tao Chen
Northwest Institute of Plateau Biology Chinese Academy of Sciences Xining Qinghai China
Mei Yang
State Key Laboratory for Quality Ensurance and Sustainable Use of Dao‐di Herbs, National Resource Center for Chinese Materia Medica China Academy of Chinese Medical Sciences Beijing China
Siqing Fan
Lushan Botanical Garden Chinese Academy of Sciences Jiujiang China
Minglei Shi
School of Life Course and Population Sciences King's College London London UK
Buqing Wei
State Key Laboratory of Efficient Utilization of Arid and Semi‐arid Arable Land in Northern China, The Institute of Agricultural Resources and Regional Planning Chinese Academy of Agricultural Sciences Beijing China
Huijiao Lv
Key Laboratory of Human Disease Comparative Medicine, National Health Commission of China (NHC), Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences Peking Union Medicine College Beijing China
Wandi Cao
Nanjing Agricultural University Nanjing China
Chongming Wang
College of Resources and Environment Huazhong Agricultural University Wuhan Hubei China
Jianzhou Cui
Immunology Translational Research Program, Yong Loo Lin School of Medicine National University of Singapore Singapore Singapore
Jiwen Zhao
State Key Laboratory of Crop Stress Resistance and High‐Efficiency Production, College of Agronomy Northwest A&F University Yangling Shaanxi People's Republic of China
Yilai Han
Department of Neurology, National Center for Neurological Disorders Xuanwu Hospital Capital Medical University Beijing China
Jiao Xi
College of Natural Resources and Environment Northwest A&F University Yangling Shaanxi China
Ziqiang Zheng
School of Life Science and Technology Wuhan Polytechnic University Wuhan China
Luqi Huang
State Key Laboratory for Quality Ensurance and Sustainable Use of Dao‐di Herbs, National Resource Center for Chinese Materia Medica China Academy of Chinese Medical Sciences Beijing China
Abstract ImageGP is an extensively utilized, open‐access platform for online data visualization and analysis. Over the past 7 years, it has catered to more than 700,000 usages globally, garnering substantial user feedback. The updated version, ImageGP 2 (available at https://www.bic.ac.cn/BIC), introduces a redesigned interface leveraging cutting‐edge web technologies to enhance functionality and user interaction. Key enhancements include the following: (i) Addition of modules for data format transformation, facilitating operations such as matrix merging, subsetting, and transformation between long and wide formats. (ii) Streamlined workflows with features like preparameter selection data validation and grouping of parameters with similar attributes. (iii) Expanded repertoire of visualization functions and analysis tools, including Weighted Gene Co‐Expression Network Analysis, differential gene expression analysis, and FASTA sequence processing. (iv) Personalized user space for uploading large data sets, tracking analysis history, and sharing reproducible analysis data, scripts, and results. (v) Enhanced user support through a simplified error debugging feature accessible with a single click. (vi) Introduction of an R package, ImageGP, enabling local data visualization and analysis. These updates position ImageGP 2 as a versatile tool serving both wet‐lab and dry‐lab researchers with expanded capabilities.
