Byeong Seob Oh , Juhee Kim , Minjeong Kwon , Jiwon Bang , Kwang-Jun Lee , Eun-Jin Lee , Yong-Joon Cho
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引用次数: 0
Abstract
Large-scale datasets are central to bioinformatics research, creating a demand for intuitive visualization tools that transform complex data into accessible graphics. Existing visualization software often comes with high costs or requires coding expertise, limiting accessibility for many researchers. To address this gap, we introduce SimpleViz, a free, web-based platform that enables the creation of professional-quality figures without the need for programming skills. SimpleViz offers gene-level analysis of RNA-seq data and core visualization types such as box/violin/dot plots, volcano plots, principal component analysis plots, and heatmaps, with extensive customization options for detailed adjustments and built-in statistical comparisons. Developed on a Shiny interface, SimpleViz simplifies the process of data upload, visualization generation, and customization, ensuring that users can produce tailored visuals suited for publication. With plans for continuous improvement based on user feedback, SimpleViz provides an adaptable, accessible solution that meets evolving data analysis needs in biomedical research.
期刊介绍:
Molecules and Cells is an international on-line open-access journal devoted to the advancement and dissemination of fundamental knowledge in molecular and cellular biology. It was launched in 1990 and ISO abbreviation is "Mol. Cells". Reports on a broad range of topics of general interest to molecular and cell biologists are published. It is published on the last day of each month by the Korean Society for Molecular and Cellular Biology.