Genome-Wide Tool for Sensitive de novo Identification and Visualisation of Interspersed and Tandem Repeats.

IF 2.3 Q3 BIOCHEMICAL RESEARCH METHODS Bioinformatics and Biology Insights Pub Date : 2024-12-18 eCollection Date: 2024-01-01 DOI:10.1177/11779322241306391
Ruslan Kalendar, Ulykbek Kairov
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引用次数: 0

Abstract

Genomic repeats are functionally ubiquitous structural units found in all genomes. Studying these repeats of different origins is essential for understanding the evolution and adaptation of a given organism. These repeating patterns have manifold signatures and structures with varying degrees of homology, making their identification challenging. To address this challenge, we developed a new algorithm and software that can rapidly and accurately detect any repeated sequences de novo with varying degrees of homology in genomic sequences in interspersed or clustered repeats. Numerous forms of repeated sequences and complex patterns can be identified, even for complex sequence variants and implicit or mixed types of repeat blocks. Direct and inverted-repeat elements, perfect and imperfect microsatellite repeats, and any short or long tandem repeat belonging to a wide range of higher-order repeat structures of telomeres or large satellite sequences can be detected. By combining precision and versatility, our tool contributes significantly to elucidating the intricate landscape of genomic repeats.

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全基因组工具的敏感从头鉴定和可视化的穿插和串联重复序列。
基因组重复序列是所有基因组中功能普遍存在的结构单元。研究这些不同起源的重复对于理解特定生物体的进化和适应是必不可少的。这些重复模式具有多种特征和结构,具有不同程度的同源性,使其识别具有挑战性。为了解决这一挑战,我们开发了一种新的算法和软件,可以快速准确地检测基因组序列中具有不同程度同源性的重复序列。许多形式的重复序列和复杂的模式可以被识别,即使是复杂的序列变体和隐式或混合类型的重复块。可以检测到直接和反向重复元件,完美和不完美微卫星重复,以及属于端粒或大卫星序列的广泛高阶重复结构的任何短或长串联重复。通过结合精度和多功能性,我们的工具有助于阐明基因组重复序列的复杂景观。
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来源期刊
Bioinformatics and Biology Insights
Bioinformatics and Biology Insights BIOCHEMICAL RESEARCH METHODS-
CiteScore
6.80
自引率
1.70%
发文量
36
审稿时长
8 weeks
期刊介绍: Bioinformatics and Biology Insights is an open access, peer-reviewed journal that considers articles on bioinformatics methods and their applications which must pertain to biological insights. All papers should be easily amenable to biologists and as such help bridge the gap between theories and applications.
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