The International Virus Bioinformatics Meeting 2023
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/164749 |
Resumo: | 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. |
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The International Virus Bioinformatics Meeting 2023bacteriophagesbioinformaticsmachine learningmetagenomicsmolecular epidemiologyphylodynamic analysisRNA virusestoolsviral infectionviral sequence analysisviral surveillanceviromicsvirus classificationvirus discoveryvirus visualizationInfectious DiseasesVirologySDG 3 - Good Health and Well-beingSDG 9 - Industry, Innovation, and InfrastructureFunding 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.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.TB, HIV and opportunistic diseases and pathogens (THOP)Global Health and Tropical Medicine (GHTM)Instituto de Higiene e Medicina Tropical (IHMT)RUNHufsky, FranziskaAbecasis, Ana B.Babaian, ArtemBeck, SebastianBrierley, LiamDellicour, SimonEggeling, ChristianElena, Santiago F.Gieraths, UdoHa, Anh D.Harvey, WillJones, Terry C.Lamkiewicz, KevinLovate, Gabriel L.Lücking, DominikMachyna, MartinNishimura, LucaNocke, Maximilian K.Renard, Bernard Y.Sakaguchi, ShoichiSakellaridi, LygeriSpangenberg, JannesTarradas-Alemany, MariaTriebel, SandraVakulenko, YuliaWijesekara, Rajitha YasasGonzález-Candelas, FernandoKrautwurst, SarahPérez-Cataluña, AlbaRandazzo, WalterSánchez, GloriaMarz, Manja2024-03-12T00:15:31Z2023-102023-10-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/164749eng1999-4915PURE: 83028903https://doi.org/10.3390/v15102031info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-18T01:44:50Zoai:run.unl.pt:10362/164749Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T04:01:58.627644Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
The International Virus Bioinformatics Meeting 2023 |
title |
The International Virus Bioinformatics Meeting 2023 |
spellingShingle |
The International Virus Bioinformatics Meeting 2023 Hufsky, Franziska 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 |
title_short |
The International Virus Bioinformatics Meeting 2023 |
title_full |
The International Virus Bioinformatics Meeting 2023 |
title_fullStr |
The International Virus Bioinformatics Meeting 2023 |
title_full_unstemmed |
The International Virus Bioinformatics Meeting 2023 |
title_sort |
The International Virus Bioinformatics Meeting 2023 |
author |
Hufsky, Franziska |
author_facet |
Hufsky, Franziska Abecasis, Ana B. Babaian, Artem Beck, Sebastian Brierley, Liam Dellicour, Simon Eggeling, Christian Elena, Santiago F. Gieraths, Udo Ha, Anh D. Harvey, Will Jones, Terry C. Lamkiewicz, Kevin Lovate, Gabriel L. Lücking, Dominik Machyna, Martin Nishimura, Luca Nocke, Maximilian K. Renard, Bernard Y. Sakaguchi, Shoichi Sakellaridi, Lygeri Spangenberg, Jannes Tarradas-Alemany, Maria Triebel, Sandra Vakulenko, Yulia Wijesekara, Rajitha Yasas González-Candelas, Fernando Krautwurst, Sarah Pérez-Cataluña, Alba Randazzo, Walter Sánchez, Gloria Marz, Manja |
author_role |
author |
author2 |
Abecasis, Ana B. Babaian, Artem Beck, Sebastian Brierley, Liam Dellicour, Simon Eggeling, Christian Elena, Santiago F. Gieraths, Udo Ha, Anh D. Harvey, Will Jones, Terry C. Lamkiewicz, Kevin Lovate, Gabriel L. Lücking, Dominik Machyna, Martin Nishimura, Luca Nocke, Maximilian K. Renard, Bernard Y. Sakaguchi, Shoichi Sakellaridi, Lygeri Spangenberg, Jannes Tarradas-Alemany, Maria Triebel, Sandra Vakulenko, Yulia Wijesekara, Rajitha Yasas González-Candelas, Fernando Krautwurst, Sarah Pérez-Cataluña, Alba Randazzo, Walter Sánchez, Gloria Marz, Manja |
author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
TB, HIV and opportunistic diseases and pathogens (THOP) Global Health and Tropical Medicine (GHTM) Instituto de Higiene e Medicina Tropical (IHMT) RUN |
dc.contributor.author.fl_str_mv |
Hufsky, Franziska Abecasis, Ana B. Babaian, Artem Beck, Sebastian Brierley, Liam Dellicour, Simon Eggeling, Christian Elena, Santiago F. Gieraths, Udo Ha, Anh D. Harvey, Will Jones, Terry C. Lamkiewicz, Kevin Lovate, Gabriel L. Lücking, Dominik Machyna, Martin Nishimura, Luca Nocke, Maximilian K. Renard, Bernard Y. Sakaguchi, Shoichi Sakellaridi, Lygeri Spangenberg, Jannes Tarradas-Alemany, Maria Triebel, Sandra Vakulenko, Yulia Wijesekara, Rajitha Yasas González-Candelas, Fernando Krautwurst, Sarah Pérez-Cataluña, Alba Randazzo, Walter Sánchez, Gloria Marz, Manja |
dc.subject.por.fl_str_mv |
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 |
topic |
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 |
description |
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. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-10 2023-10-01T00:00:00Z 2024-03-12T00:15:31Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/164749 |
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http://hdl.handle.net/10362/164749 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1999-4915 PURE: 83028903 https://doi.org/10.3390/v15102031 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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