Unaligned Sequence Similarity Search Using Deep Learning

@article{Senter2019UnalignedSS,
  title={Unaligned Sequence Similarity Search Using Deep Learning},
  author={James K. Senter and Taylor M. Royalty and Andrew D. Steen and Amir Sadovnik},
  journal={2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)},
  year={2019},
  pages={1892-1899}
}
Gene annotation has traditionally required direct comparison of DNA sequences between an unknown gene and a database of known ones using string comparison methods. However, these methods do not provide useful information when a gene does not have a close match in the database. In addition, each comparison can be costly when the database is large since it requires alignments and a series of string comparisons. In this work we propose a novel approach: using recurrent neural networks to embed DNA… 

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