A new DNA alignment method based on inverted index
Wang Liang, Zhao KaiYong
TL;DR
This paper introduces a novel DNA sequence alignment method utilizing inverted index data structures, adapting techniques from information retrieval to improve efficiency and effectiveness in large-scale DNA analysis.
Contribution
It pioneers the application of inverted index structures in DNA sequence alignment, addressing segmentation, search, and ranking challenges.
Findings
Enhanced DNA alignment efficiency demonstrated
New ranking algorithm improves search relevance
Framework applicable to large-scale genomic data
Abstract
This paper presents a novel DNA sequences alignment method based on inverted index. Now most large scale information retrieval system are all use inverted index as the basic data structure. But its application in DNA sequence alignment is still not found. This paper just discuss such applications. Three main problems, DNA segmenting, long DNA query search, DNA search ranking algorithm and evaluation method are detailed respectively. This research presents a new avenue to build more effective DNA alignment methods.
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Taxonomy
TopicsGenomics and Phylogenetic Studies · Algorithms and Data Compression · Microbial Community Ecology and Physiology