Web of venom: exploration of big data resources in animal toxin research.

Détails

ID Serval
serval:BIB_DD857727C02C
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Web of venom: exploration of big data resources in animal toxin research.
Périodique
GigaScience
Auteur⸱e⸱s
Zancolli G., von Reumont B.M., Anderluh G., Caliskan F., Chiusano M.L., Fröhlich J., Hapeshi E., Hempel B.F., Ikonomopoulou M.P., Jungo F., Marchot P., de Farias T.M., Modica M.V., Moran Y., Nalbantsoy A., Procházka J., Tarallo A., Tonello F., Vitorino R., Zammit M.L., Antunes A.
ISSN
2047-217X (Electronic)
ISSN-L
2047-217X
Statut éditorial
Publié
Date de publication
02/01/2024
Peer-reviewed
Oui
Volume
13
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: ppublish
Résumé
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.
Mots-clé
Animals, Venoms, Internet, Computational Biology/methods, Big Data, Databases, Factual, antivenom, drug discovery, genomics, machine learning, peptidomics, proteomics, toxin databases, transcriptomics, venom resources
Pubmed
Open Access
Oui
Création de la notice
13/09/2024 15:17
Dernière modification de la notice
27/09/2024 15:45
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