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  • Nucl2Vec: Local alignment of DNA sequences using Distributed Vector Representation

Nucl2Vec: Local alignment of DNA sequences using Distributed Vector Representation

https://prakharg24.github.io/papers/401851.full.pdf

We demonstrate a novel approach forlocal alignment of DNA reads with respect to reference genome.For this process we have used Skip-gram model for creatingencoding(Nucl2Vec) and k-nearest neighbor for the alignment.With our new approach we have reduced computation cost forlocal alignment , while achieving accuracy comparable to existingdefacto standard BWA-MEM tool.

https://prakharg24.github.io/papers/401851.full.pdf