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铺路石：大数据对顶复门和动基体目生物研究的贡献。

Paving the Way: Contributions of Big Data to Apicomplexan and Kinetoplastid Research.

机构信息

Department of Microbiology and Molecular Genetics, University of Vermont, Burlington, VT, United States.

Institute for Immunology and Infection Research, School of Biological Sciences, University Edinburgh, Edinburgh, United Kingdom.

出版信息

Front Cell Infect Microbiol. 2022 Jun 6;12:900878. doi: 10.3389/fcimb.2022.900878. eCollection 2022.

DOI:10.3389/fcimb.2022.900878
PMID:35734575
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9207352/
Abstract

In the age of big data an important question is how to ensure we make the most out of the resources we generate. In this review, we discuss the major methods used in Apicomplexan and Kinetoplastid research to produce big datasets and advance our understanding of and biology. We debate the benefits and limitations of the current technologies, and propose future advancements that may be key to improving our use of these techniques. Finally, we consider the difficulties the field faces when trying to make the most of the abundance of data that has already been, and will continue to be, generated.

摘要

在大数据时代，一个重要的问题是如何确保我们充分利用我们生成的资源。在这篇综述中，我们讨论了在顶复门和动基体目生物研究中用于生成大数据集并推进我们对其生物学理解的主要方法。我们辩论了当前技术的优缺点，并提出了未来可能对改进我们对这些技术的使用至关重要的进展。最后，我们考虑了当试图充分利用已经生成并将继续生成的大量数据时，该领域所面临的困难。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed96/9207352/253fa3b05cd2/fcimb-12-900878-g011.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed96/9207352/8e926ddac5d7/fcimb-12-900878-g003.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed96/9207352/251c0e1c0baf/fcimb-12-900878-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed96/9207352/eaf8994fa1df/fcimb-12-900878-g007.jpg
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