| Literature DB >> 24109755 |
Aminmohammad Roozgard, Nafise Barzigar, Shuang Wang, Xiaoqian Jiang, Lucila Ohno-Machado, Samuel Cheng.
Abstract
Advances in DNA information extraction techniques have led to huge sequenced genomes from organisms spanning the tree of life. This increasing amount of genomic information requires tools for comparison of the nucleotide sequences. In this paper, we propose a novel nucleotide sequence alignment method based on sparse coding and belief propagation to compare the similarity of the nucleotide sequences. We used the neighbors of each nucleotide as features, and then we employed sparse coding to find a set of candidate nucleotides. To select optimum matches, belief propagation was subsequently applied to these candidate nucleotides. Experimental results show that the proposed approach is able to robustly align nucleotide sequences and is competitive to SOAPaligner [1] and BWA [2].Entities:
Mesh:
Year: 2013 PMID: 24109755 PMCID: PMC3909563 DOI: 10.1109/EMBC.2013.6609568
Source DB: PubMed Journal: Conf Proc IEEE Eng Med Biol Soc ISSN: 1557-170X