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Found 3 papers, 2 papers with code
Learning to Untangle Genome Assembly with Graph Convolutional Networks
In this work, we explore a different approach to the central part of the genome assembly task that consists of untangling a large assembly graph from which a genomic sequence needs to be reconstructed.
Genome Sequence Reconstruction Using Gated Graph Convolutional Network
A quest to determine the human DNA sequence from telomere to telomere started three decades ago and was finally finished in 2021.
A step towards neural genome assembly
De novo genome assembly focuses on finding connections between a vast amount of short sequences in order to reconstruct the original genome.
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