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- W2802134368 abstract "The variation graph toolkit (VG) represents genetic variation as a graph. Each path in the graph is a potential haplotype, though most paths are unlikely recombinations of true haplotypes. We augment the VG model with haplotype information to identify which paths are more likely to be correct. For this purpose, we develop a scalable implementation of the graph extension of the positional Burrows--Wheeler transform. We demonstrate the scalability of the new implementation by indexing the 1000 Genomes Project haplotypes. We also develop an algorithm for simplifying variation graphs for k-mer indexing without losing any k-mers in the haplotypes." @default.
- W2802134368 created "2018-05-17" @default.
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- W2802134368 date "2018-05-10" @default.
- W2802134368 modified "2023-10-08" @default.
- W2802134368 title "Haplotype-aware graph indexes" @default.
- W2802134368 hasPublicationYear "2018" @default.
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