Dr. Pavel Pevzner from College of California, San Diego presents a lecture titled “Algorithms & Optimization.”
This lecture will illustrate algorithmic challenges in Organic Information Science utilizing genome meeting. We are going to present how trendy algorithms resolve the seemingly intractable downside of assembling a jigsaw puzzle with billions of brief items (sequencing reads). We are going to focus on how the perfect algorithmic methods for assembling genomes from reads change as new sequencing applied sciences emerge. The components that affect the selection of algorithms embrace the amount of knowledge (measured by learn size and protection); high quality of knowledge (together with error charges); and genome construction (the quantity and measurement of repeated areas).
In regards to the Speaker
Pavel Pevzner is Ronald R. Taylor Professor of Pc Science and Engineering and Director of the NIH Nationwide Heart for Computational Mass Spectrometry at College of California, San Diego. He holds Ph.D. from Moscow Institute of Physics and Expertise, Russia. He was named Howard Hughes Medical Institute Professor in 2006. He was elected the ACM Fellow (2010) for “contribution to algorithms for genome rearrangements, DNA sequencing, and proteomics”, Worldwide Society for Computational Biology Fellow (2012), and European Academy of Sciences (Academia Europaea) in 2016. He was awarded a Honoris Causa (2011) from Simon Fraser College in Vancouver. Dr. Pevzner authored textbooks “Computational Molecular Biology: An Algorithmic Strategy”, “Introduction to Bioinformatics Algorithms” (collectively with Neal Jones) and “Bioinformatics Algorithms: an Lively Studying Strategy” (collectively with Phillip Compeau). In 2015, collectively with Phillip Compeau, he developed a Bioinformatics specialization on Coursera (a sequence of seven programs) that has have already got over 300,000 enrollments. In 2016, Compeau and Pevzner developed Biology Meets Programming on-line course on Coursera that introduces biologists to programming.
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