ImageGP 2 for enhanced data visualization and reproducible analysis in biomedical research
文献类型：期刊论文
| 作者 | Chen, Tong; Liu, Yong-Xin; Chen, Tao; Yang, Mei; Fan, Siqing; Shi, Minglei; Wei, Buqing; Lv, Huijiao; Cao, Wandi; Wang, Chongming |
| 刊名 | IMETA
 |
| 出版日期 | 2024 |
| 卷号 | 3期号:5 |
| 英文摘要 | 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 ), 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.The infinity symbol illustrates the seamless workflow of ImageGP 2, encompassing essential functions such as data format transformation, data validation, and parameter combination. This process culminates in the generation of diverse visual outputs, including line, point, and bar plots. Key features include a personalized user center for managing large data sets, interactive visualizations, and streamlined error feedback mechanisms. Additionally, the introduction of the ImageGP R package enables local and batch analyses. Overall, the infinity symbol embodies the limitless potential for data analysis and visualization offered by ImageGP 2. imageAdvanced user interface, expanded analytical capabilities, and seamless data handling. New modules for data transformation and preparameter selection data validation. Personalized user center, reproducible scripts, seamless error debugging, the introduction of local analysis capabilities. |
| 源URL | [http://210.75.249.4/handle/363003/61953]  |
| 专题 | 西北高原生物研究所_中国科学院西北高原生物研究所 |
| 推荐引用方式 GB/T 7714 | Chen, Tong,Liu, Yong-Xin,Chen, Tao,et al. ImageGP 2 for enhanced data visualization and reproducible analysis in biomedical research[J]. IMETA,2024,3(5). |
| APA | Chen, Tong.,Liu, Yong-Xin.,Chen, Tao.,Yang, Mei.,Fan, Siqing.,...&Huang, Luqi.(2024).ImageGP 2 for enhanced data visualization and reproducible analysis in biomedical research.IMETA,3(5). |
| MLA | Chen, Tong,et al."ImageGP 2 for enhanced data visualization and reproducible analysis in biomedical research".IMETA 3.5(2024). |
入库方式： OAI收割
来源：西北高原生物研究所
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