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|Organized by:||Faculty of Technology, GRK 1906 DiDy|
|Place:||Bielefeld University, rooms V2-105/115|
|Date:||November 20-22, 2017|
Monday, November 20th
Tuesday, November 21st
|14h00||Tobias Marschall||Towards haplotype-resolved genome assembly – or how to solve multiple jigsaw puzzles simultaneously|
Wednesday, November 22nd
Towards haplotype-resolved genome assembly – or how to solve multiple jigsaw puzzles simultaneously
by Tobias Marschall
Genome assembly is like a one-dimensional jigsaw puzzle: Given many short sequence fragments, we are tasked to reconstruct the sequence corresponding to the whole genome. This classic bioinformatical problem has been studied for decades and, yet, very pressing and fundamental challenges remain unsolved. First, many species of interest (including humans) are diploid or even polyploid and hence harbor multiple similar yet distinct copies of each chromosome (called haplotypes). Second, state-of-the-art assembly projects routinely employ multiple technologies, which produce massive amounts of data and come with technology-specific errors and uncertainties. Haplotype-resolved genome assembly using data from multiple technologies is hence a significant data integration task. In my presentation, I highlight recent progress on multiple statistical and algorithmic methods that serve as building blocks towards this goal. Furthermore, I sketch a way forward for solving this problem in the mid-term future.