Speaker

　　Michael Waterman, University of Southern California

　　Title

　  Reading DNA Sequences Along Eulerian Pathways 

　　Time

　　2013.4.12 10:00-11:00 am         

　　Venue

　　Hall

　　Abstract

   The Human Genome Project determined the genome sequence by the now classical overlap-layout-consensus. The raw data was reads of a few hundred basepairs at random locations in the genome.After the genome sequence was made public, new technology was developed that radically speeded up sequencing by orders of magnitude although the random reads were much shorter in length. This talk will describe these developments and the application of Euler's graphs which has replaced the former computational techniques.

　　Affiliation

  Michael Waterman 教授是南加州大学讲座教授，计算生物学的先驱。他1969年于密歇根州立大学获得博士学位，此后开创性地将数学、计算和统计方法引入分子生物学和基因组学的研究。 他的学术贡献包括一些标准的计算生物方法如Smith-Waterman算法、Lander-Waterman 公式、和序列组装的Euler路径方法。Michael Waterman 教授获得很多荣誉，他是美国科学院士，工程院士，法国科学院士，他和其他学者创办的学术杂志Journal of Computational Biology 和学术年会RECOMB, 他的专著Introduction to Computational Biology: Sequences, Maps and Genomes, Chapman & Hall – CRC Press (1995)在生物信息领域影响深远。特别地，Michael Waterman 教授培养扶植了多位计算生物学领域的中国学生和学者。