Suppr超能文献

宏基因组学和宏转录组学数据的可视化:全面综述

Visualizing metagenomic and metatranscriptomic data: A comprehensive review.

作者信息

Aplakidou Eleni, Vergoulidis Nikolaos, Chasapi Maria, Venetsianou Nefeli K, Kokoli Maria, Panagiotopoulou Eleni, Iliopoulos Ioannis, Karatzas Evangelos, Pafilis Evangelos, Georgakopoulos-Soares Ilias, Kyrpides Nikos C, Pavlopoulos Georgios A, Baltoumas Fotis A

机构信息

Institute for Fundamental Biomedical Research, BSRC "Alexander Fleming", Vari, Greece.

Department of Informatics and Telecommunications, Data Science and Information Technologies program, University of Athens, 15784 Athens, Greece.

出版信息

Comput Struct Biotechnol J. 2024 May 3;23:2011-2033. doi: 10.1016/j.csbj.2024.04.060. eCollection 2024 Dec.

Abstract

The fields of Metagenomics and Metatranscriptomics involve the examination of complete nucleotide sequences, gene identification, and analysis of potential biological functions within diverse organisms or environmental samples. Despite the vast opportunities for discovery in metagenomics, the sheer volume and complexity of sequence data often present challenges in processing analysis and visualization. This article highlights the critical role of advanced visualization tools in enabling effective exploration, querying, and analysis of these complex datasets. Emphasizing the importance of accessibility, the article categorizes various visualizers based on their intended applications and highlights their utility in empowering bioinformaticians and non-bioinformaticians to interpret and derive insights from meta-omics data effectively.

摘要

宏基因组学和宏转录组学领域涉及对不同生物体或环境样本中的完整核苷酸序列进行检测、基因识别以及潜在生物学功能分析。尽管宏基因组学有大量的发现机会,但序列数据的庞大数量和复杂性常常给处理、分析和可视化带来挑战。本文强调了先进可视化工具在有效探索、查询和分析这些复杂数据集方面的关键作用。文章强调了可访问性的重要性,根据各种可视化工具的预期应用对其进行分类,并突出了它们在使生物信息学家和非生物信息学家能够有效解释和从元组学数据中获得见解方面的效用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3649/11101950/d69ff22bab61/ga1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验