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Joker de Bruijn: Covering k-Mers Using Joker Characters
Sequence libraries that cover all k-mers enable universal and unbiased measurements of nucleotide and peptide binding. The shortest sequence to cover all k-mers is a de Bruijn sequence of length [Formula: see text]. Researchers would like to increase k to measure interactions at greater detail, but...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Mary Ann Liebert, Inc., publishers
2018
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6247992/ https://www.ncbi.nlm.nih.gov/pubmed/30117747 http://dx.doi.org/10.1089/cmb.2018.0032 |
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author | Orenstein, Yaron Yu, Yun William Berger, Bonnie |
author_facet | Orenstein, Yaron Yu, Yun William Berger, Bonnie |
author_sort | Orenstein, Yaron |
collection | PubMed |
description | Sequence libraries that cover all k-mers enable universal and unbiased measurements of nucleotide and peptide binding. The shortest sequence to cover all k-mers is a de Bruijn sequence of length [Formula: see text]. Researchers would like to increase k to measure interactions at greater detail, but face a challenging problem: the number of k-mers grows exponentially in k, while the space on the experimental device is limited. In this study, we introduce a novel advance to shrink k-mer library sizes by using joker characters, which represent all characters in the alphabet. Theoretically, the use of joker characters can reduce the library size tremendously, but it should be limited as the introduced degeneracy lowers the statistical robustness of measurements. In this work, we consider the problem of generating a minimum-length sequence that covers a given set of k-mers using joker characters. The number and positions of the joker characters are provided as input. We first prove that the problem is NP-hard. We then present the first solution to the problem, which is based on two algorithmic innovations: (1) a greedy heuristic and (2) an integer linear programming (ILP) formulation. We first run the heuristic to find a good feasible solution, and then run an ILP solver to improve it. We ran our algorithm on DNA and amino acid alphabets to cover all k-mers for different values of k and k-mer multiplicity. Results demonstrate that it produces sequences that are very close to the theoretical lower bound. |
format | Online Article Text |
id | pubmed-6247992 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Mary Ann Liebert, Inc., publishers |
record_format | MEDLINE/PubMed |
spelling | pubmed-62479922018-11-26 Joker de Bruijn: Covering k-Mers Using Joker Characters Orenstein, Yaron Yu, Yun William Berger, Bonnie J Comput Biol Research Articles Sequence libraries that cover all k-mers enable universal and unbiased measurements of nucleotide and peptide binding. The shortest sequence to cover all k-mers is a de Bruijn sequence of length [Formula: see text]. Researchers would like to increase k to measure interactions at greater detail, but face a challenging problem: the number of k-mers grows exponentially in k, while the space on the experimental device is limited. In this study, we introduce a novel advance to shrink k-mer library sizes by using joker characters, which represent all characters in the alphabet. Theoretically, the use of joker characters can reduce the library size tremendously, but it should be limited as the introduced degeneracy lowers the statistical robustness of measurements. In this work, we consider the problem of generating a minimum-length sequence that covers a given set of k-mers using joker characters. The number and positions of the joker characters are provided as input. We first prove that the problem is NP-hard. We then present the first solution to the problem, which is based on two algorithmic innovations: (1) a greedy heuristic and (2) an integer linear programming (ILP) formulation. We first run the heuristic to find a good feasible solution, and then run an ILP solver to improve it. We ran our algorithm on DNA and amino acid alphabets to cover all k-mers for different values of k and k-mer multiplicity. Results demonstrate that it produces sequences that are very close to the theoretical lower bound. Mary Ann Liebert, Inc., publishers 2018-11-01 2018-11-09 /pmc/articles/PMC6247992/ /pubmed/30117747 http://dx.doi.org/10.1089/cmb.2018.0032 Text en © Yaron Orenstein, et al., 2018. Published by Mary Ann Liebert, Inc. This Open Access article is distributed under the terms of the Creative Commons Attribution Noncommercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. |
spellingShingle | Research Articles Orenstein, Yaron Yu, Yun William Berger, Bonnie Joker de Bruijn: Covering k-Mers Using Joker Characters |
title | Joker de Bruijn: Covering k-Mers Using Joker Characters |
title_full | Joker de Bruijn: Covering k-Mers Using Joker Characters |
title_fullStr | Joker de Bruijn: Covering k-Mers Using Joker Characters |
title_full_unstemmed | Joker de Bruijn: Covering k-Mers Using Joker Characters |
title_short | Joker de Bruijn: Covering k-Mers Using Joker Characters |
title_sort | joker de bruijn: covering k-mers using joker characters |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6247992/ https://www.ncbi.nlm.nih.gov/pubmed/30117747 http://dx.doi.org/10.1089/cmb.2018.0032 |
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