A Review of Web-Based Metagenomics Platforms for Analysing Next-Generation Sequence Data

IF 2.1 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Biochemical Genetics Pub Date : 2023-07-28 DOI:10.1007/s10528-023-10467-w
Arunmozhi Bharathi Achudhan, Priya Kannan, Annapurna Gupta, Lilly M. Saleena
{"title":"A Review of Web-Based Metagenomics Platforms for Analysing Next-Generation Sequence Data","authors":"Arunmozhi Bharathi Achudhan,&nbsp;Priya Kannan,&nbsp;Annapurna Gupta,&nbsp;Lilly M. Saleena","doi":"10.1007/s10528-023-10467-w","DOIUrl":null,"url":null,"abstract":"<div><p>Metagenomics has now evolved as a promising technology for understanding the microbial population in the environment. By metagenomics, a number of extreme and complex environment has been explored for their microbial population. Using this technology, researchers have brought out novel genes and their potential characteristics, which have robust applications in food, pharmaceutical, scientific research, and other biotechnological fields. A sequencing platform can provide a sequence of microbial populations in any given environment. The sequence needs to be analysed computationally to derive meaningful information. It is presumed that only bioinformaticians with extensive computational skills can process the sequencing data till the downstream end. However, numerous open-source software and online servers are available to analyse the metagenomic data developed for a biologist with less computational skills. This review is focused on bioinformatics tools such as Galaxy, CSI-NGS portal, ANASTASIA and SHAMAN, EBI- metagenomics, IDseq, and MG-RAST for analysing metagenomic data.</p></div>","PeriodicalId":482,"journal":{"name":"Biochemical Genetics","volume":"62 2","pages":"621 - 632"},"PeriodicalIF":2.1000,"publicationDate":"2023-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biochemical Genetics","FirstCategoryId":"99","ListUrlMain":"https://link.springer.com/article/10.1007/s10528-023-10467-w","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Metagenomics has now evolved as a promising technology for understanding the microbial population in the environment. By metagenomics, a number of extreme and complex environment has been explored for their microbial population. Using this technology, researchers have brought out novel genes and their potential characteristics, which have robust applications in food, pharmaceutical, scientific research, and other biotechnological fields. A sequencing platform can provide a sequence of microbial populations in any given environment. The sequence needs to be analysed computationally to derive meaningful information. It is presumed that only bioinformaticians with extensive computational skills can process the sequencing data till the downstream end. However, numerous open-source software and online servers are available to analyse the metagenomic data developed for a biologist with less computational skills. This review is focused on bioinformatics tools such as Galaxy, CSI-NGS portal, ANASTASIA and SHAMAN, EBI- metagenomics, IDseq, and MG-RAST for analysing metagenomic data.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
分析下一代序列数据的基于网络的元基因组学平台综述。
目前,元基因组学已发展成为了解环境中微生物种群的一项前景广阔的技术。通过元基因组学,人们探索了许多极端复杂环境中的微生物种群。利用这项技术,研究人员发现了新基因及其潜在特征,并将其广泛应用于食品、制药、科学研究和其他生物技术领域。测序平台可以提供任何特定环境中微生物种群的序列。要获得有意义的信息,需要对序列进行计算分析。一般认为,只有具备丰富计算技能的生物信息学家才能处理测序数据,直至下游。然而,许多开源软件和在线服务器可用于分析为计算技能较低的生物学家开发的元基因组数据。本综述主要介绍用于分析元基因组数据的生物信息学工具,如 Galaxy、CSI-NGS 门户网站、ANASTASIA 和 SHAMAN、EBI-元基因组学、IDseq 和 MG-RAST。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Biochemical Genetics
Biochemical Genetics 生物-生化与分子生物学
CiteScore
3.90
自引率
0.00%
发文量
133
审稿时长
4.8 months
期刊介绍: Biochemical Genetics welcomes original manuscripts that address and test clear scientific hypotheses, are directed to a broad scientific audience, and clearly contribute to the advancement of the field through the use of sound sampling or experimental design, reliable analytical methodologies and robust statistical analyses. Although studies focusing on particular regions and target organisms are welcome, it is not the journal’s goal to publish essentially descriptive studies that provide results with narrow applicability, or are based on very small samples or pseudoreplication. Rather, Biochemical Genetics welcomes review articles that go beyond summarizing previous publications and create added value through the systematic analysis and critique of the current state of knowledge or by conducting meta-analyses. Methodological articles are also within the scope of Biological Genetics, particularly when new laboratory techniques or computational approaches are fully described and thoroughly compared with the existing benchmark methods. Biochemical Genetics welcomes articles on the following topics: Genomics; Proteomics; Population genetics; Phylogenetics; Metagenomics; Microbial genetics; Genetics and evolution of wild and cultivated plants; Animal genetics and evolution; Human genetics and evolution; Genetic disorders; Genetic markers of diseases; Gene technology and therapy; Experimental and analytical methods; Statistical and computational methods.
期刊最新文献
The Novel Direct AR Target Gene Annexin A2 Mediates Androgen-Induced Cellular Senescence in Prostate Cancer Cells. Genetic Parameters and Prediction of Genotypic Values for Postharvest Physiological Deterioration Tolerance and Root Traits in Cassava using REML/BLUP. Maternal Genetic Diversity Analysis of Guanling Cattle by Mitochondrial Genome Sequencing. Identification of Novel Genomic Variants in COVID-19 Patients Using Whole-Exome Sequencing: Exploring the Plausible Targets of Functional Genomics. A Meta-Analysis of Association Between Interleukin Polymorphisms (rs4073, rs1800925, rs1179251, rs1179246, rs2227485, rs17855750, and rs153109) and Colorectal Cancer Risk.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1