CompàreGenome:原核生物和真核生物基因组多样性估计的命令行工具。

IF 2.9 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Gabriele Moro, Rossano Atzeni, Ali Al-Subhi, Maria Giovanna Marche
{"title":"CompàreGenome:原核生物和真核生物基因组多样性估计的命令行工具。","authors":"Gabriele Moro, Rossano Atzeni, Ali Al-Subhi, Maria Giovanna Marche","doi":"10.1186/s12859-025-06036-0","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The increasing availability of sequenced genomes has enabled comparative analyses of various organisms. Numerous tools and online platforms have been developed for this purpose, facilitating the identification of unique features within selected organisms. However, choosing the most appropriate tools can be unclear during the initial stages of analysis, often requiring multiple attempts to match the specific characteristics of the data. Here, we introduce CompàreGenome, a command-line tool specifically designed for genomic diversity estimation analyses. Suitable for both prokaryotes and eukaryotes, this tool is particularly valuable in the early stages of studies when little information is available about the genetic differences or similarities among compared organisms.</p><p><strong>Results: </strong>In all the tests conducted, CompàreGenome successfully identified specific genetic features of the selected organisms, detected the most conserved genes, pinpointed highly divergent ones, and functionally annotated these genes. This provided insights into biological processes, molecular functions, and cellular components associated with each gene. The tool also distinguished organisms at the strain level and quantified genetic distances using three distinct analytical methods.</p><p><strong>Conclusion: </strong>CompàreGenome empowers users to explore genomic differences among organisms, translating technical outputs from various tools into actionable insights for biologists. While primarily tested on small microbial genomes, the tool has potential applications for larger genomes. CompàreGenome is implemented in Bash, R, and Python and is freely available under an LGPL-2.1 license.</p>","PeriodicalId":8958,"journal":{"name":"BMC Bioinformatics","volume":"26 1","pages":"14"},"PeriodicalIF":2.9000,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11731138/pdf/","citationCount":"0","resultStr":"{\"title\":\"CompàreGenome: a command-line tool for genomic diversity estimation in prokaryotes and eukaryotes.\",\"authors\":\"Gabriele Moro, Rossano Atzeni, Ali Al-Subhi, Maria Giovanna Marche\",\"doi\":\"10.1186/s12859-025-06036-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The increasing availability of sequenced genomes has enabled comparative analyses of various organisms. Numerous tools and online platforms have been developed for this purpose, facilitating the identification of unique features within selected organisms. However, choosing the most appropriate tools can be unclear during the initial stages of analysis, often requiring multiple attempts to match the specific characteristics of the data. Here, we introduce CompàreGenome, a command-line tool specifically designed for genomic diversity estimation analyses. Suitable for both prokaryotes and eukaryotes, this tool is particularly valuable in the early stages of studies when little information is available about the genetic differences or similarities among compared organisms.</p><p><strong>Results: </strong>In all the tests conducted, CompàreGenome successfully identified specific genetic features of the selected organisms, detected the most conserved genes, pinpointed highly divergent ones, and functionally annotated these genes. This provided insights into biological processes, molecular functions, and cellular components associated with each gene. The tool also distinguished organisms at the strain level and quantified genetic distances using three distinct analytical methods.</p><p><strong>Conclusion: </strong>CompàreGenome empowers users to explore genomic differences among organisms, translating technical outputs from various tools into actionable insights for biologists. While primarily tested on small microbial genomes, the tool has potential applications for larger genomes. CompàreGenome is implemented in Bash, R, and Python and is freely available under an LGPL-2.1 license.</p>\",\"PeriodicalId\":8958,\"journal\":{\"name\":\"BMC Bioinformatics\",\"volume\":\"26 1\",\"pages\":\"14\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2025-01-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11731138/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BMC Bioinformatics\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1186/s12859-025-06036-0\",\"RegionNum\":3,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Bioinformatics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1186/s12859-025-06036-0","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0

摘要

背景:越来越多的基因组测序使各种生物的比较分析成为可能。为此目的开发了许多工具和在线平台,促进了选定生物体内独特特征的识别。然而,在分析的初始阶段,选择最合适的工具可能是不明确的,通常需要多次尝试来匹配数据的特定特征。在这里,我们介绍CompàreGenome,一个专门为基因组多样性估计分析设计的命令行工具。该工具既适用于原核生物,也适用于真核生物,在研究的早期阶段,当比较生物之间的遗传差异或相似信息很少时,该工具特别有价值。结果:在进行的所有测试中,CompàreGenome成功地确定了选定生物体的特定遗传特征,检测了最保守的基因,确定了高度分化的基因,并对这些基因进行了功能注释。这提供了对与每个基因相关的生物过程、分子功能和细胞成分的见解。该工具还在菌株水平上区分生物体,并使用三种不同的分析方法量化遗传距离。结论:CompàreGenome使用户能够探索生物体之间的基因组差异,将各种工具的技术产出转化为生物学家可操作的见解。虽然该工具主要在小型微生物基因组上进行测试,但它有可能应用于更大的基因组。CompàreGenome是用Bash、R和Python实现的,在LGPL-2.1许可下免费提供。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CompàreGenome: a command-line tool for genomic diversity estimation in prokaryotes and eukaryotes.

Background: The increasing availability of sequenced genomes has enabled comparative analyses of various organisms. Numerous tools and online platforms have been developed for this purpose, facilitating the identification of unique features within selected organisms. However, choosing the most appropriate tools can be unclear during the initial stages of analysis, often requiring multiple attempts to match the specific characteristics of the data. Here, we introduce CompàreGenome, a command-line tool specifically designed for genomic diversity estimation analyses. Suitable for both prokaryotes and eukaryotes, this tool is particularly valuable in the early stages of studies when little information is available about the genetic differences or similarities among compared organisms.

Results: In all the tests conducted, CompàreGenome successfully identified specific genetic features of the selected organisms, detected the most conserved genes, pinpointed highly divergent ones, and functionally annotated these genes. This provided insights into biological processes, molecular functions, and cellular components associated with each gene. The tool also distinguished organisms at the strain level and quantified genetic distances using three distinct analytical methods.

Conclusion: CompàreGenome empowers users to explore genomic differences among organisms, translating technical outputs from various tools into actionable insights for biologists. While primarily tested on small microbial genomes, the tool has potential applications for larger genomes. CompàreGenome is implemented in Bash, R, and Python and is freely available under an LGPL-2.1 license.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
BMC Bioinformatics
BMC Bioinformatics 生物-生化研究方法
CiteScore
5.70
自引率
3.30%
发文量
506
审稿时长
4.3 months
期刊介绍: BMC Bioinformatics is an open access, peer-reviewed journal that considers articles on all aspects of the development, testing and novel application of computational and statistical methods for the modeling and analysis of all kinds of biological data, as well as other areas of computational biology. BMC Bioinformatics is part of the BMC series which publishes subject-specific journals focused on the needs of individual research communities across all areas of biology and medicine. We offer an efficient, fair and friendly peer review service, and are committed to publishing all sound science, provided that there is some advance in knowledge presented by the work.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信