Statistical methods for next-generation genomics

下一代基因组学的统计方法

• 批准号: nhmrc : 1050661
• 负责人: Dr Marie-Liesse Asselin-Labat
• 金额: $ 26.15万
• 依托单位: The Walter and Eliza Hall Institute of Medical Research
• 依托单位国家: 澳大利亚
• 项目类别: Project Grants
• 财政年份: 2013
• 资助国家: 澳大利亚
• 起止时间: 2013-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://researchdata.edu.au/statistical-methods-next-generation-genomics/112167
• 关键词: Statistical; methods; next; generation; genomics

High-throughput genetic assays are commonly used to study the molecular basis of disease and such technology requires sophisticated data analysis methods that account for significant biological and experimental complexity. Specialized methods will be developed in free public software that will greatly benefit future genetic profiling studies.

高通量遗传测定通常用于研究疾病的分子基础，并且这种技术需要复杂的数据分析方法，其考虑到显著的生物学和实验复杂性。将在免费的公共软件中开发专门的方法，这将极大地有利于未来的遗传特征分析研究。