毒液之网:动物毒素研究中的大数据资源探索。

IF 11.8 2区 生物学 Q1 MULTIDISCIPLINARY SCIENCES
Giulia Zancolli, Björn Marcus von Reumont, Gregor Anderluh, Figen Caliskan, Maria Luisa Chiusano, Jacob Fröhlich, Evroula Hapeshi, Benjamin-Florian Hempel, Maria P Ikonomopoulou, Florence Jungo, Pascale Marchot, Tarcisio Mendes de Farias, Maria Vittoria Modica, Yehu Moran, Ayse Nalbantsoy, Jan Procházka, Andrea Tarallo, Fiorella Tonello, Rui Vitorino, Mark Lawrence Zammit, Agostinho Antunes
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引用次数: 0

摘要

对动物毒液及其成分的研究横跨多个学科,包括生物学、生物化学、生物信息学、药理学、医学等。处理和分析毒液研究所需的各种数据具有挑战性,而且相关工具和资源往往分散在不同的在线平台上,非专业人员难以获取。在本文中,我们通过识别和讨论该领域常用的网络资源、数据库和工具,来满足从事毒液和毒素相关研究的科学界的多方面需求。我们将这些资源汇编成一个综合表格,可在 VenomZone 网站 (https://venomzone.expasy.org/10897) 上查阅。此外,我们还强调了研究人员目前在获取和使用这些资源时所面临的挑战,并强调了社区驱动的跨学科方法的重要性。最后,我们强调了加强标准、促进互操作性以及鼓励毒液研究界共享数据和方法的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Web of venom: exploration of big data resources in animal toxin research.

Research on animal venoms and their components spans multiple disciplines, including biology, biochemistry, bioinformatics, pharmacology, medicine, and more. Manipulating and analyzing the diverse array of data required for venom research can be challenging, and relevant tools and resources are often dispersed across different online platforms, making them less accessible to nonexperts. In this article, we address the multifaceted needs of the scientific community involved in venom and toxin-related research by identifying and discussing web resources, databases, and tools commonly used in this field. We have compiled these resources into a comprehensive table available on the VenomZone website (https://venomzone.expasy.org/10897). Furthermore, we highlight the challenges currently faced by researchers in accessing and using these resources and emphasize the importance of community-driven interdisciplinary approaches. We conclude by underscoring the significance of enhancing standards, promoting interoperability, and encouraging data and method sharing within the venom research community.

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来源期刊
GigaScience
GigaScience MULTIDISCIPLINARY SCIENCES-
CiteScore
15.50
自引率
1.10%
发文量
119
审稿时长
1 weeks
期刊介绍: GigaScience seeks to transform data dissemination and utilization in the life and biomedical sciences. As an online open-access open-data journal, it specializes in publishing "big-data" studies encompassing various fields. Its scope includes not only "omic" type data and the fields of high-throughput biology currently serviced by large public repositories, but also the growing range of more difficult-to-access data, such as imaging, neuroscience, ecology, cohort data, systems biology and other new types of large-scale shareable data.
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