Известия высших учебных заведений

Прикладная нелинейная динамика

ISSN 0869-6632 (Print)
ISSN 2542-1905 (Online)

Для цитирования:

Sheinman M. Exact sequence matches in genomic studies [Шейнман М. Точные соответствия последовательностей в геномных исследованиях] // Известия вузов. ПНД. 2023. Т. 31, вып. 6. С. 739-756. DOI: 10.18500/0869-6632-003073, EDN: TVKYRH

Статья опубликована на условиях лицензии Creative Commons Attribution 4.0 International (CC-BY 4.0).
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Язык публикации: 
английский
Рубрика: 
Моделирование глобальных процессов. Нелинейная динамика и гуманитарные науки.
Тип статьи: 
Обзорная статья
УДК: 
573.2
DOI: 
10.18500/0869-6632-003073
EDN: 
TVKYRH

Exact sequence matches in genomic studies
[Точные соответствия последовательностей в геномных исследованиях]

Авторы: 
Шейнман Михаил, Севастопольский Государственный Университет
Аннотация: 

Цель этого обзора — рассмотреть использование точных соответствий геномных последовательностей в разных контекстах.

Методы. Здесь представлен явно не исчерпывающий список работ, в которых авторы добились интерпретируемых результатов, используя статистические данные точных соответствий разных геномных последовательностей или самосоответствий на одном геноме.

Результаты. Часто в геномных исследованиях разные геномные локусы обладают различными статистическими свойствами, в то время как их границы изначально не известны. В таких случаях рассмотрение статистических свойств точных соответствий является полезной альтернативой других методик, например основывающихся на разделении генома на произвольного размера участки — так называемые скользящие или нескользящие окна.

Заключение. Этот обзор демонстрирует, что анализ точных соответствий это не только вспомогательный шаг в выравнивании геномных последовательностей, но также выявляет биологические закономерности в различных контекстах.

Ключевые слова: 
геномика
точные соответствия
максимально точные соответствия
k-меры
эволюция генома
горизонтальный перенос генов
Благодарности: 
Я благодарю П. Ф. Арндта и Ф. Массипа за полезные комментарии и обсуждения. Численный анализ проводился с использованием суперкомпьютерного кластера «Афалина» в Севастопольском государственном университете. Работа выполнена в рамках программы «Приоритет-2030» Севастопольского государственного университета (стратегический проект № 3, № 121121700318-1) и проекта FE FM-2023-0005.
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Поступила в редакцию: 
28.09.2023
Принята к публикации: 
05.10.2023
Опубликована онлайн: 
17.11.2023
Опубликована: 
30.11.2023
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