|開催日時：||2019年12月20日 13：00 ～ 16：00|
|講師：||Mohammed H. K. Alser|
|所属：||Lecturer and Senior Researcher, Department of Computer Science, ETH Zurich|
|演題：||A Roadmap for Fast and Efficient Genome Analysis|
Our understanding of human genomes today is affected by the ability of modern computing technology to quickly and accurately determine an individual’s entire genome. Over the past decade, high throughput sequencing (HTS) technologies have opened the door to remarkable biomedical discoveries through its ability to generate hundreds of millions to billions of DNA segments per run along with a substantial reduction in time and cost. To analyze a genome, each of these segments -called reads- must be mapped to a reference genome based on the similarity between a read and “candidate” locations in that reference genome. This process is called read mapping and it is currently a major bottleneck in the entire genome analysis pipeline as the flood of sequencing data continues to overwhelm the processing capacity of existing algorithms and hardware. It gets even worse when one tries to understand a complex disease (e.g., autism and cancer) or profile a metagenomics sample, which requires analyzing hundreds of thousands of genomes. The long execution time of modern-day sequence aligners can severely hinder such studies. There is also an urgent need for rapidly incorporating clinical DNA sequencing and analysis into clinical practice for early diagnosis of genetic disorders in critically ill infants and saving their life. This makes the development of fundamentally new, fast, and efficient read mapper the utmost necessity.
|世話人：||〇渋谷 哲朗 （シークエンスデータ情報処理分野）
井元 清哉 （健康医療データサイエンス分野）