The International Virus Bioinformatics Meeting 2023

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.

Descrição

Funding Information: This work is supported by the German Federal Ministry of Health (BMG): ZMI5-2521DAT400 (MarMac). We obtained funding by the EU: Marie Skłodowska-Curie ITN 955974 (VIROINF, YW, GLL, LS); NextGenerationEU/PRTR (SFE); HIVERA—249697 (ABA); by FCT through funds to GHTM-UID/Multi/04413/2013 and GHTM-UID/04413/2020 (ABA), MigrantHIV (PTDC/DTPEPI/7066/2014, ABA) and Integriv (PTDC/SAU-INF/31990/2017, ABA). We thank MICIN/AEI/10.13039/501100011033: SGL2021-03-009, SGL2021-03-052 (SFE). Funding was also received by the DFG: Microverse (EXC 2051—390713860, ManMar, CE), iDIV (FZT 118, KL), 448974291 (MN), CRC 1278 (CE), NFDI4microbiota (NFDI 28/1—460129525, ST, KL), as well as by BMBF: VirBio 01KI2106 (MN). The work was also supported by an award from The Pandemic Institute & CSL Seqirus Influenza Research Partnership (LB), the TAB (SARSRapid 2020-FGR-0052, CE), the LPI (CE), and the National Science Foundation (CAREER-2141862, AH). Further support was gained by JSPS KAKENHI (JP18H05506, JP21J22509, LN) and Russian Science Foundation (22-15-00230, YV). Publisher Copyright: © 2023 by the authors.

Palavras-chave

bacteriophages bioinformatics machine learning metagenomics molecular epidemiology phylodynamic analysis RNA viruses tools viral infection viral sequence analysis viral surveillance viromics virus classification virus discovery virus visualization Infectious Diseases Virology SDG 3 - Good Health and Well-being SDG 9 - Industry, Innovation, and Infrastructure

URI

http://hdl.handle.net/10362/164749

DOI

10.3390/v15102031

Coleções

Home collection (IHMT)

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