The Integrative Genomics Viewer (IGV): visualization supporting cancer research

综合基因组学查看器 (IGV)：支持癌症研究的可视化

• 批准号: 9770558
• 负责人: JILL P. MESIROV
• 金额: $ 73.94万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN DIEGO
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-01 至 2021-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9770558
• 关键词: Address; Adopted; Architecture; Attention; Cancer Research Project; Clinic; Clinical; Code; Collaborations; Collection; Communities; Community Developments; Complex; Computer software; Consult; DNA sequencing; Data; Data Set; Development; Disease; Documentation; Education and Outreach; Educational workshop; Electronic Mail; Elements; Emerging Technologies; Ensure; Environment; Event; Family Research; Feedback; Fostering; Funding; Future; Gene Fusion; Generations; Genome; Genomics; Geography; Goals; Imagery; Informatics; Knowledge; Letters; Link; Malignant Neoplasms; Methods; Molecular Conformation; Mutation; Performance; Persons; Pilot Projects; Protocols documentation; Research; Research Personnel; Resources; Site; Software Engineering; Software Tools; Specialist; Structure; Suggestion; System; Technology; Testing; The Cancer Genome Atlas; Time; Training; Training Support; Treatment Protocols; Update; Variant; Walking; Work; anticancer research; base; cancer genomics; cancer therapy; clinical phenotype; data acquisition; data visualization; evidence base; expectation; experience; family support; flexibility; genomic data; genomic platform; genomics cloud; improved; insight; meetings; new technology; new therapeutic target; next generation sequencing; novel; open source; outreach; programs; research study; response; single-cell RNA sequencing; success; tool; user-friendly

Project Summary/Abstract Driven by new and emerging technologies for data acquisition, integrative genomic studies are revolutionizing the way we approach the study of cancer and other diseases, and charting the way to novel treatment regimens. They require the high-throughput generation and analysis of multiple, and often complex, types of genomic data. To address this challenge, and in active collaboration with end users, we developed a broadly applicable Integrative Genomics Viewer (IGV). IGV is a high-performance, user-friendly tool used by over 100,000 investigators and clinicians worldwide for the interactive exploration of large, integrated genomic datasets. The goal of this project is to ensure that IGV continues to track and respond to advances in genomics technology and changing user needs, and maintains its high level of utility for the cancer research community. We will accomplish this through our three specific aims as described below. Aim 1. To ensure that the IGV continues to keep pace with new and emerging technologies and the changing cancer research environment we will develop new and improved IGV views of, e.g., long range genomic events, physical proximity data, and more. In recognition of the biomedical community's increasing use of the cloud, we will ensure efficient and accessible visualization of cloud data and seamless integration with analysis workflows. An IGV Advisory Board will ensure we are best tracking technologies and user needs. Aim 2. To enhance, refine, and maintain IGV to best support cancer researchers in their work we will develop new features and updates based on feedback and suggestions from the IGV user community. We will also take advantage of external resources that are valuable for cancer research, as well as development in support of other projects that use IGV in their own applications and resources. Special attention will be paid to collaborations and initiatives within the Informatics Technology for Cancer Research (ITCR) family of tools. Aim 3. To provide training, support, and outreach activities for the cancer research community we will continue to provide our email help desk, workshops and documentation to help both the user and developer communities take best advantage of IGV. Importantly, we will develop a new collection of focused IGV “sketches” to walk users through visualization tasks with high utility. We have extensive experience in software engineering, including the development and distribution of IGV and other software tools used by hundreds of thousands of biomedical researchers and clinicians worldwide. We will continue our user-driven development approach working closely with large genomics projects like The Cancer Genome Atlas, NCI supported software projects like the Cancer Genomics Cloud Pilots and the ITCR program, as well as numerous single-investigator studies. IGV's current success, flexible architecture, and our plan to support external development make us well poised to accomplish our aims to further transform data visualization and accelerate the pace of biomedical discovery.

项目总结/文摘