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IDEaS Seminar Series

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Start date: 2017 × End date: 2019 × Author: Medvedev, Paul ×

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    Assembly of Big Genomic Data
    (Georgia Institute of Technology, 2017-09-15) Medvedev, Paul
    As genome sequencing technologies continue to facilitate the generation of large datasets, developing scalable algorithms has come to the forefront as a crucial step in analyzing these datasets. In this talk, I will discuss several recent advances, with a focus on the problem of reconstructing a genome from a set of reads (genome assembly). I will describe low-memory and scalable algorithms for automatic parameter selection and de Bruijn graph compaction, recently implemented in two tools: KmerGenie and bcalm. I will also present recent advances in the theoretical foundations of genome assemblers.