Statistical methods for identifying structural variation in tumour genomes using Next Generation sequencing

使用下一代测序识别肿瘤基因组结构变异的统计方法

• 批准号: nhmrc : 637357
• 负责人: Dr Matthew Wakefield
• 金额: $ 16.23万
• 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: NHMRC Project Grants
• 财政年份: 2010
• 资助国家: 澳大利亚
• 起止时间: 2010-01-01 至 2012-12-31
• 项目状态: 已结题
• 来源: https://researchdata.edu.au/statistical-methods-identifying-generation-sequencing/98244
• 关键词: Statistical; methods; identifying; structural; variation

New DNA sequencing technology can sequence a tumour genome affordably in 2 weeks. This re-sequencing data can be used to find small mutations and large-scale chromosomal rearrangements that together are the drivers of cancer. These may one day be used to guide cancer therapy. This project will develop new algorithms for finding mutations and apply these to discover the genetic basis of drug resistance in a model lymphoma system.

新的DNA测序技术可以在2周内负担得起对肿瘤基因组进行测序。这种重测序数据可以用来发现小的突变和大规模的染色体重排，它们一起是癌症的驱动因素。有一天，这些可能会被用来指导癌症治疗。该项目将开发用于发现突变的新算法，并应用这些算法来发现模型淋巴瘤系统中耐药的遗传基础。