Searching and Indexing Genomic Databases via Kernelization

The rapid advance of DNA sequencing technologies has yielded databases of thousands of genomes. To search and index these databases effectively, it is important that we take advantage of the similarity between those genomes. Several authors have recently suggested searching or indexing only one re...

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Bibliographic Details
Main Authors: Travis eGagie, Simon ePuglisi
Format: Article
Language:English
Published: Frontiers Media S.A. 2015-02-01
Series:Frontiers in Bioengineering and Biotechnology
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fbioe.2015.00012/full
Description
Summary:The rapid advance of DNA sequencing technologies has yielded databases of thousands of genomes. To search and index these databases effectively, it is important that we take advantage of the similarity between those genomes. Several authors have recently suggested searching or indexing only one reference genome and the parts of the other genomes where they differ. In this paper we survey the twenty-year history of this idea and discuss its relation to kernelization in parameterized complexity.
ISSN:2296-4185