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  • 标题:A Q-gram Filter for Local Alignment in Large Genomic Database
  • 本地全文:下载
  • 作者:Decai Sun ; Xiaoxia Wang
  • 期刊名称:International Journal of Hybrid Information Technology
  • 印刷版ISSN:1738-9968
  • 出版年度:2016
  • 卷号:9
  • 期号:1
  • 页码:221-232
  • DOI:10.14257/ijhit.2016.9.1.19
  • 出版社:SERSC
  • 摘要:Fast and exact searching for sequences similar to a query sequence in genomic databases remains a challenging task in molecular biology. In this paper, the problem of finding all e-matches in a large genomic database is considered, i.e. all local alignments over a given length w and an error rate of at most e. A new database searching algorithm called QFLA is designed to solve this problem. The proposed algorithm is a full- sensitivity algorithm which is a refined q-gram filter and implemented on a q-gram index. First, new features are extracted from match-regions by logically partitioning both query sequence and genomic database. Second, a large part of irrelevant subsequences are eliminated quickly by these new features during the searching process. Last, the unfiltered regions are verified by the well-known smith-waterman algorithm. The experimental results demonstrate that our algorithm saves time by improving filtration efficiency in a short filtration time.
  • 关键词:sequence comparison; local alignment; filter algorithm; q-gram filter; q- ; gram index
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