<![CDATA[BOL: Nucl2Vec: Local alignment of DNA sequences using Distributed Vector Representation]]> https://bioinformaticsonline.com/bookmarks/view/42965/nucl2vec-local-alignment-of-dna-sequences-using-distributed-vector-representation? https://bioinformaticsonline.com/bookmarks/view/42965/nucl2vec-local-alignment-of-dna-sequences-using-distributed-vector-representation Tue, 16 Mar 2021 05:45:44 -0500 https://bioinformaticsonline.com/bookmarks/view/42965/nucl2vec-local-alignment-of-dna-sequences-using-distributed-vector-representation <![CDATA[Nucl2Vec: Local alignment of DNA sequences using Distributed Vector Representation]]> 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

Address of the bookmark: https://prakharg24.github.io/papers/401851.full.pdf

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