How to cite
ViruSurf database and web application ViruSurf: an integrated database to investigate viral sequences. Conceptual ModelEmpowering Virus Sequence Research through Conceptual Modeling. A. Bernasconi, A. Canakoglu, P. Pinoli, S. Ceri. In Proceedings of the 39th International Conference on Conceptual Modeling, November 2020. PDF |
Contacts
LeaderProf. Stefano Ceri Concept and designDr. Arif Canakoglu - Main development Dr. Pietro Pinoli - Variant algorithms Anna Bernasconi - Configuration, testing, documentation Politecnico di Milano Via Ponzio 34/5 Milano 20133 Milano Italy Phone: +39 02 2399 3655 |
Third-party software |
Acknowledgements
Available dataViruSurf includes sequences and metadata from GenBank in their Nuccore distribution from the Entrez APIs.It also includes sequences and metadata from COG-UK in the last publicly available distribution of 2020-05-08. |
Data acknowledgementsThe authors would like to acknowledge the COG-UK consortium for providing valuable data from across the UK, resulting from the work of hundreds of people. If you wish to publish research using the data, please get in contact with COG-UK first to ensure that those who have generated the data can be involved in its analysis.The COG-UK project is introduced in the Consortium paper. The authors also acknowledge the depositions of worldwide laboratories to GenBank and NMDC. |
Personal acknowledgementsThe authors would like to thank several researchers for their contribution to requirements elicitation and for inspiring future developments of this research. They are listed in strict alphabetical order by last name.Ilaria Capua One Health Center of Excellence (University of Florida, US) Matteo Chiara Università degli Studi di Milano Statale (IT) Ana Conesa University of Florida (US) Luca Ferretti Oxford Big Data Institute (UK) Alice Fusaro Istituto Zooprofilattico Sperimentale delle Venezie (IT) Ruba Al Khalaf Politecnico di Milano (IT) Susanna Lamers BioInfoExperts (Louisiana, US) Stefania Leopardi Istituto Zooprofilattico Sperimentale delle Venezie (IT) Francesca Mari Università di Siena (IT) Carla Mavian Department of Pathology, College of Medicine (University of Florida, US) Graziano Pesole Università di Bari (IT) Alessandra Renieri Università di Siena (IT) Anna Sandionigi Università degli Studi di Milano-Bicocca (IT) Stephen Tsui The Chinese University of Hong Kong (HK) Limsoon Wong National University of Singapore (SGP) Federico Zambelli Università degli Studi di Milano Statale (IT) |
Resources acknowledgementsWe also acknowledge the support from Amazon Machine Learning Research Award "Data-driven Machine and Deep Learning for Genomics". |