TY - JOUR
AU - Hufsky, Franziska
AU - Abecasis, Ana B
AU - Babaian, Artem
AU - Beck, Sebastian
AU - Brierley, Liam
AU - Dellicour, Simon
AU - Eggeling, Christian
AU - Elena, Santiago F
AU - Gieraths, Udo
AU - Ha, Anh D
AU - Harvey, William T.
AU - Jones, Terry C
AU - Lamkiewicz, Kevin
AU - Lovate, Gabriel L
AU - Lücking, Dominik
AU - Machyna, Martin
AU - Nishimura, Luca
AU - Nocke, Maximilian K
AU - Renard, Bernard Y
AU - Sakaguchi, Shoichi
AU - Sakellaridi, Lygeri
AU - Spangenberg, Jannes
AU - Tarradas-Alemany, Maria
AU - Triebel, Sandra
AU - Vakulenko, Yulia
AU - Wijesekara, Rajitha Yasas
AU - González-Candelas, Fernando
AU - Krautwurst, Sarah
AU - Pérez-Cataluña, Alba
AU - Randazzo, Walter
AU - Sánchez, Gloria
AU - Marz, Manja
PY - 2023
DA - September
TI - The International Virus Bioinformatics Meeting 2023
JO - Viruses
VL - 15
IS - 10
DO - https://doi.org/10.3390/v15102031
AB - The 2023 International Virus Bioinformatics Meeting was held in Valencia, Spain, from 24-26 May 2023, attracting approximately 180 participants worldwide. The primary objective of the conference was to establish a dynamic scientific environment conducive to discussion, collaboration, and the generation of novel research ideas. As the first in-person event following the SARS-CoV-2 pandemic, the meeting facilitated highly interactive exchanges among attendees. It served as a pivotal gathering for gaining insights into the current status of virus bioinformatics research and engaging with leading researchers and emerging scientists. The event comprised eight invited talks, 19 contributed talks, and 74 poster presentations across eleven sessions spanning three days. Topics covered included machine learning, bacteriophages, virus discovery, virus classification, virus visualization, viral infection, viromics, molecular epidemiology, phylodynamic analysis, RNA viruses, viral sequence analysis, viral surveillance, and metagenomics. This report provides rewritten abstracts of the presentations, a summary of the key research findings, and highlights shared during the meeting.
PB - MDPI
UR - https://www.research.ed.ac.uk/en/publications/9c2db163-d414-4b07-bdf2-94b9396e5554
KW - Coronavirus (COVID-19)
ER