快速检测独特的基因组区域

IF 4.1 2区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Computational and structural biotechnology journal Pub Date : 2025-01-01 Epub Date: 2025-02-27 DOI:10.1016/j.csbj.2025.02.025
Beatriz Vieira Mourato, Bernhard Haubold
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引用次数: 0

摘要

独特的基因组区域在两种情况下特别有趣:当从单个哺乳动物目标基因组中提取时,它们高度富集发育基因。当从目标基因组中提取时,与密切相关的邻居基因组相比,它们具有高度丰富的诊断标记。尽管具有重要的生物学意义和潜在的经济价值,但从全基因组序列中发现独特区域仍然很困难。在这篇综述中,我们综述了三个有效的程序来检测独特的区域在规模,genmap, macle和皮毛。通过对模拟数据和实际数据的分析,对这些程序进行了说明和演示。搜索唯一区域的示例脚本可从Github存储库evolbioinf/sure获得,作为详细教程的一部分。
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Fast detection of unique genomic regions
Unique genomic regions are of particular interest in two scenarios: When extracted from a single mammalian target genome, they are highly enriched for developmental genes. When extracted from target genomes compared to closely related neighbor genomes, they are highly enriched for diagnostic markers. Despite their biological importance and potential economic value, unique regions remain difficult to detect from whole genome sequences. In this review we survey three efficient programs for the detection of unique regions at scale, genmap, macle, and fur. We explain these programs and demonstrate their application by analyzing simulated and real data. Example scripts for searching for unique regions are available from the Github repository evolbioinf/sure as part of a detailed tutorial.
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来源期刊
Computational and structural biotechnology journal
Computational and structural biotechnology journal Biochemistry, Genetics and Molecular Biology-Biophysics
CiteScore
9.30
自引率
3.30%
发文量
540
审稿时长
6 weeks
期刊介绍: Computational and Structural Biotechnology Journal (CSBJ) is an online gold open access journal publishing research articles and reviews after full peer review. All articles are published, without barriers to access, immediately upon acceptance. The journal places a strong emphasis on functional and mechanistic understanding of how molecular components in a biological process work together through the application of computational methods. Structural data may provide such insights, but they are not a pre-requisite for publication in the journal. Specific areas of interest include, but are not limited to: Structure and function of proteins, nucleic acids and other macromolecules Structure and function of multi-component complexes Protein folding, processing and degradation Enzymology Computational and structural studies of plant systems Microbial Informatics Genomics Proteomics Metabolomics Algorithms and Hypothesis in Bioinformatics Mathematical and Theoretical Biology Computational Chemistry and Drug Discovery Microscopy and Molecular Imaging Nanotechnology Systems and Synthetic Biology
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