Corpus ID: 226289718

A step towards neural genome assembly

@inproceedings{Vrvcek2020AST,
  title={A step towards neural genome assembly},
  author={Lovro Vrvcek and Petar Velivckovi'c and Mile vSiki'c},
  year={2020}
}
De novo genome assembly focuses on finding connections between a vast amount of short sequences in order to reconstruct the original genome. The central problem of genome assembly could be described as finding a Hamiltonian path through a large directed graph with a constraint that an unknown number of nodes and edges should be avoided. However, due to local structures in the graph and biological features, the problem can be reduced to graph simplification, which includes removal of redundant… Expand
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SHOWING 1-10 OF 13 REFERENCES
Neural Message Passing for Quantum Chemistry
  • 1,767
  • PDF
Neural Execution of Graph Algorithms
  • 30
  • PDF
Raven: a de novo genome assembler for long reads
  • 9
  • PDF
Pointer Networks
  • 1,205
  • PDF
The Graph Neural Network Model
  • 1,920
  • PDF
What Can Neural Networks Reason About?
  • 55
  • PDF
Neural Bipartite Matching
  • 6
  • PDF
Hybrid computing using a neural network with dynamic external memory
  • 966
  • PDF
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
  • 11,120
  • PDF
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