Abstract
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 . 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.
Original language | English |
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Pages (from-to) | 1171-1178 |
Number of pages | 8 |
Journal | Journal of Computational Biology |
Volume | 25 |
Issue number | 11 |
DOIs | |
State | Published - Nov 2018 |
Externally published | Yes |
Bibliographical note
Publisher Copyright:© Yaron Orenstein, et al., 2018. Published by Mary Ann Liebert, Inc. 2018.
Funding
This work was supported by the National Institutes of Health grant R01GM081871. Y.W.Y. was partially supported by a Hertz Foundation Fellowship.
Funders | Funder number |
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National Institutes of Health | |
National Institute of General Medical Sciences | R01GM081871 |
Hertz Foundation |
Keywords
- de Bruijn sequence
- microarray library design
- peptide arrays
- protein binding
- protein binding microarrays