An Efficient Algorithm for Mapping of Reads to a Genome Graph Using an Index Based on Hash Tables and Dynamic Programming
- Авторы: Petrov S.N.1,2, Uroshlev L.A.1,2, Kasyanov A.S.1,2, Makeev V.Y.1,2,3,4
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Учреждения:
- Vavilov Institute of General Genetics
- Moscow Institute of Physics and Technology (State University), Institutskiy per. 9
- Engelhardt Institute of Molecular Biology
- Research Institute for Genetics and Selection of Industrial Microorganisms
- Выпуск: Том 63, № 3 (2018)
- Страницы: 311-317
- Раздел: Molecular Biophysics
- URL: https://journals.rcsi.science/0006-3509/article/view/152606
- DOI: https://doi.org/10.1134/S0006350918030193
- ID: 152606
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Аннотация
The problem of storage of the sequences of a number of closely related genomes and analysis of genome variations is considered. A genome graph with the structure of an acyclic directed graph is used to store matching sections of sequences and known variants. An algorithm for rapid mapping of reads to the genome graph is developed to align the individual nucleotide sequence fragments to the genome graph. The algorithm combines rapid searching using hash tables with the algorithm of dynamic programming and solves the problem of exponential growth in the number of paths on the graph. The implementation of the genome graph and the algorithm of the alignment of reads is developed. A comparison with the best-known programs with similar functionality is made.
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Об авторах
S. Petrov
Vavilov Institute of General Genetics; Moscow Institute of Physics and Technology (State University), Institutskiy per. 9
Email: vsevolod.makeev@gmail.com
Россия, ul. Gubkina 3, Moscow, 119991; Dolgoprudny, Moscow oblast, 141701
L. Uroshlev
Vavilov Institute of General Genetics; Moscow Institute of Physics and Technology (State University), Institutskiy per. 9
Email: vsevolod.makeev@gmail.com
Россия, ul. Gubkina 3, Moscow, 119991; Dolgoprudny, Moscow oblast, 141701
A. Kasyanov
Vavilov Institute of General Genetics; Moscow Institute of Physics and Technology (State University), Institutskiy per. 9
Email: vsevolod.makeev@gmail.com
Россия, ul. Gubkina 3, Moscow, 119991; Dolgoprudny, Moscow oblast, 141701
V. Makeev
Vavilov Institute of General Genetics; Moscow Institute of Physics and Technology (State University), Institutskiy per. 9; Engelhardt Institute of Molecular Biology; Research Institute for Genetics and Selection of Industrial Microorganisms
Автор, ответственный за переписку.
Email: vsevolod.makeev@gmail.com
Россия, ul. Gubkina 3, Moscow, 119991; Dolgoprudny, Moscow oblast, 141701; ul. Vavilova 32, Moscow, 119991; Pervyj Dorozhniy proezd 1, Moscow, 117545
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