How to cite

ViruSurf database and web application

ViruSurf: an integrated database to investigate viral sequences.
A. Canakoglu, P. Pinoli, A. Bernasconi, T. Alfonsi, D.P. Melidis, S. Ceri. Nucleic Acids Research, gkaa846, https://doi.org/10.1093/nar/gkaa846


Conceptual Model

Empowering 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

Leader

Prof. Stefano Ceri
stefano.ceri@polimi.it

Concept and design

Dr. Arif Canakoglu - Main development
arif.canakoglu@polimi.it

Dr. Pietro Pinoli - Variant algorithms
pietro.pinoli@polimi.it

Anna Bernasconi - Configuration, testing, documentation
anna.bernasconi@polimi.it

Dipartimento di Elettronica, Informazione e Bioingegneria
Politecnico di Milano
Via Ponzio 34/5 Milano
20133 Milano
Italy

Phone: +39 02 2399 3655

Third-party software

PostgreSQL

Vue.js

Flask

Acknowledgements

Available data

ViruSurf 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 acknowledgements

The 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 acknowledgements

The 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 acknowledgements

We also acknowledge the support from Amazon Machine Learning Research Award "Data-driven Machine and Deep Learning for Genomics".