Biomedical Big Data Training Grant

生物医学大数据培训补助金

• 批准号: 9254611
• 负责人: Matteo Pellegrini
• 金额: $ 26.69万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-05-01 至 2020-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9254611
• 关键词: Grant; Training; big biomedical data

 DESCRIPTION (provided by applicant): This broad-based T32 proposal is focused on supporting graduate students pursuing Biomedical Big Data Analysis research at UCLA. Over the past few years there has been increasing recognition that the biomedical sciences are undergoing a transformation, led by the development of new technologies that have enormously increased the capacity to generate data. These include technologies to sequence DNA and RNA; measure protein and metabolite abundances using mass spectrometry; as well as multiple other high throughput platforms for screening and phenotyping. Coupled with the advances in medical imaging and EHRs, the amount of data is growing faster than ever before. While several other training grants exist at UCLA, none are specifically focused on the general problem of analyzing and relating large biomedical data sets. Thus this new training grant we propose here fills a critical niche that will allow us to support graduate students in fundamental aspects of biomedical "big data" analysis. This effort realizes the novel development of a tailored set of courses in big data analysis, along with specialized team building activities in bi data challenges and extramural internships in big data centers. This training program will position our students for the future growth in big data science, fostering the growth of this critial area at UCLA. We posit that this program will be critical for the growth of our bioinformatics program and big data biomedical science at UCLA. Faculty supporting this training program represent an interdisciplinary group of researchers from across the UCLA campus, including the Schools of Engineering & Applied Sciences; College of Life Sciences and the Medical School. Many of the faculty are nationally recognized leaders in their disciplines; collectively, these individuals provide a comprehensive and complementary set of (funded) research areas and skills that enrich the training experience.