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

Lookup NU author(s): Dr Emma BriggsORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


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 Plasmodium, Toxoplasma, Cryptosporidium, Trypanosoma and Leishmania 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.


Publication metadata

Author(s): Kent RS, Briggs EM, Colon BL, Alvarez C, Silva Pereira S, De Niz M

Publication type: Article

Publication status: Published

Journal: Frontiers in Cellular and Infection Microbiology

Year: 2022

Volume: 12

Print publication date: 06/06/2022

Online publication date: 06/06/2022

Acceptance date: 06/05/2022

Date deposited: 29/01/2025

ISSN (electronic): 2235-2988

Publisher: Frontiers Research Foundation

URL: https://doi.org/10.3389/fcimb.2022.900878

DOI: 10.3389/fcimb.2022.900878

PubMed id: 35734575


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Funding

Funder referenceFunder name
Fundaç ão Bial (Project 7/2021)
Human Frontier Science Individual Fellowship (grant LT000047/2019-L)
Marie Skłodowska-Curie Individual Standard European Fellowship (grant no.839960)
the American Heart Association Postdoctoral Fellowship (grant no. 20POST35220017)
the Wellcome Trust (grant no. 218648/Z/19/Z)
U.S. Public Health Service (grant no. AI 139201)

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