期刊
CRITICAL REVIEWS IN MICROBIOLOGY
卷 49, 期 3, 页码 391-413出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/1040841X.2022.2065905
关键词
Staphylococcus aureus; bioinformatics; public data; microarray; RNA-seq
类别
This review discusses the use of big data bioinformatics in analyzing Staphylococcus aureus and uncovering mechanisms of infection and inhibition. It highlights the challenges and advancements in biomarker discovery, host responses, phenotype identification, information consolidation, and drug development.
Staphylococcus aureus is a notorious pathogen posing challenges in the medical industry due to drug resistance and biofilm formation. The horizon of knowledge on S. aureus pathogenesis has expanded with the advancement of data-driven bioinformatics techniques. Mining information from sequenced genomes and their expression data is an economic approach that alleviates wastage of resources and redundancy in experiments. The current review covers how big data bioinformatics has been used in the analysis of S. aureus from publicly available -omics data to uncover mechanisms of infection and inhibition. Particularly, advances in the past two decades in biomarker discovery, host responses, phenotype identification, consolidation of information, and drug development are discussed highlighting the challenges and shortcomings. Overall, the review summarizes the diverse aspects of scrupulous re-analysis of S. aureus proteomic and transcriptomic expression datasets retrieved from public repositories in terms of the efforts taken, benefits offered, and follow-up actions. The detailed review thus serves as a reference and aid for (i) Computational biologists by briefing the approaches utilized for bacterial omics re-analysis concerning S. aureus and (ii) Experimental biologists by elucidating the potential of bioinformatics in biological research to generate reliable postulates in a prompt and economical manner.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据