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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 refe...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2015
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4321636/ https://www.ncbi.nlm.nih.gov/pubmed/25710001 http://dx.doi.org/10.3389/fbioe.2015.00012 |
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author | Gagie, Travis Puglisi, Simon J. |
author_facet | Gagie, Travis Puglisi, Simon J. |
author_sort | Gagie, Travis |
collection | PubMed |
description | 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 20-year history of this idea and discuss its relation to kernelization in parameterized complexity. |
format | Online Article Text |
id | pubmed-4321636 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-43216362015-02-23 Searching and Indexing Genomic Databases via Kernelization Gagie, Travis Puglisi, Simon J. Front Bioeng Biotechnol Bioengineering and Biotechnology 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 20-year history of this idea and discuss its relation to kernelization in parameterized complexity. Frontiers Media S.A. 2015-02-09 /pmc/articles/PMC4321636/ /pubmed/25710001 http://dx.doi.org/10.3389/fbioe.2015.00012 Text en Copyright © 2015 Gagie and Puglisi. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Bioengineering and Biotechnology Gagie, Travis Puglisi, Simon J. Searching and Indexing Genomic Databases via Kernelization |
title | Searching and Indexing Genomic Databases via Kernelization |
title_full | Searching and Indexing Genomic Databases via Kernelization |
title_fullStr | Searching and Indexing Genomic Databases via Kernelization |
title_full_unstemmed | Searching and Indexing Genomic Databases via Kernelization |
title_short | Searching and Indexing Genomic Databases via Kernelization |
title_sort | searching and indexing genomic databases via kernelization |
topic | Bioengineering and Biotechnology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4321636/ https://www.ncbi.nlm.nih.gov/pubmed/25710001 http://dx.doi.org/10.3389/fbioe.2015.00012 |
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