{"title":"一个可视化多路染色质相互作用和SPRITE数据的软件工具。","authors":"Jes Hui Min Kwek, Melissa Jane Fullwood","doi":"10.1186/s12859-025-06176-3","DOIUrl":null,"url":null,"abstract":"<p><p>Multiway chromatin interactions are essential for precise transcriptional regulation. Split-Pool Recognition of Interactions by Tag Extension (SPRITE) captures these interactions, which are typically visualized as pairwise heatmaps, where each bin represents one or more multiway contacts. Accurate representation requires downweighting and additional processing to avoid overrepresentation of pairwise signals. However, existing tools such as Juicebox lack the ability to adjust these parameters, leading to biased visualizations. To address this limitation, we introduce MultiVis, a user-friendly, interactive tool for precise and unbiased three-dimensional (3D) genome visualization. MultiVis also generates gene names without requiring external annotation files and allows users to select regions of interest to retrieve corresponding cluster information, thereby removing technical barriers for wet-lab biologists. By enabling real-time analysis, MultiVis accelerates genomics research and advances the study of 3D genome architecture and gene regulation.</p>","PeriodicalId":8958,"journal":{"name":"BMC Bioinformatics","volume":"26 1","pages":"144"},"PeriodicalIF":3.3000,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12131634/pdf/","citationCount":"0","resultStr":"{\"title\":\"MultiVis.js: a software tool for the visualization of multiway chromatin interactions and SPRITE data.\",\"authors\":\"Jes Hui Min Kwek, Melissa Jane Fullwood\",\"doi\":\"10.1186/s12859-025-06176-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Multiway chromatin interactions are essential for precise transcriptional regulation. Split-Pool Recognition of Interactions by Tag Extension (SPRITE) captures these interactions, which are typically visualized as pairwise heatmaps, where each bin represents one or more multiway contacts. Accurate representation requires downweighting and additional processing to avoid overrepresentation of pairwise signals. However, existing tools such as Juicebox lack the ability to adjust these parameters, leading to biased visualizations. To address this limitation, we introduce MultiVis, a user-friendly, interactive tool for precise and unbiased three-dimensional (3D) genome visualization. MultiVis also generates gene names without requiring external annotation files and allows users to select regions of interest to retrieve corresponding cluster information, thereby removing technical barriers for wet-lab biologists. By enabling real-time analysis, MultiVis accelerates genomics research and advances the study of 3D genome architecture and gene regulation.</p>\",\"PeriodicalId\":8958,\"journal\":{\"name\":\"BMC Bioinformatics\",\"volume\":\"26 1\",\"pages\":\"144\"},\"PeriodicalIF\":3.3000,\"publicationDate\":\"2025-06-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12131634/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BMC Bioinformatics\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1186/s12859-025-06176-3\",\"RegionNum\":3,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Bioinformatics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1186/s12859-025-06176-3","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
MultiVis.js: a software tool for the visualization of multiway chromatin interactions and SPRITE data.
Multiway chromatin interactions are essential for precise transcriptional regulation. Split-Pool Recognition of Interactions by Tag Extension (SPRITE) captures these interactions, which are typically visualized as pairwise heatmaps, where each bin represents one or more multiway contacts. Accurate representation requires downweighting and additional processing to avoid overrepresentation of pairwise signals. However, existing tools such as Juicebox lack the ability to adjust these parameters, leading to biased visualizations. To address this limitation, we introduce MultiVis, a user-friendly, interactive tool for precise and unbiased three-dimensional (3D) genome visualization. MultiVis also generates gene names without requiring external annotation files and allows users to select regions of interest to retrieve corresponding cluster information, thereby removing technical barriers for wet-lab biologists. By enabling real-time analysis, MultiVis accelerates genomics research and advances the study of 3D genome architecture and gene regulation.
期刊介绍:
BMC Bioinformatics is an open access, peer-reviewed journal that considers articles on all aspects of the development, testing and novel application of computational and statistical methods for the modeling and analysis of all kinds of biological data, as well as other areas of computational biology.
BMC Bioinformatics is part of the BMC series which publishes subject-specific journals focused on the needs of individual research communities across all areas of biology and medicine. We offer an efficient, fair and friendly peer review service, and are committed to publishing all sound science, provided that there is some advance in knowledge presented by the work.