date: 2023-09-30T08:45:34Z pdf:unmappedUnicodeCharsPerPage: 0 pdf:PDFVersion: 1.7 pdf:docinfo:title: The International Virus Bioinformatics Meeting 2023 xmp:CreatorTool: LaTeX with hyperref Keywords: bioinformatics; tools; machine learning; bacteriophages; virus discovery; virus classification; virus visualization; viral infection; viromics; molecular epidemiology; phylodynamic analysis; RNA viruses; viral sequence analysis; viral surveillance; metagenomics access_permission:modify_annotations: true access_permission:can_print_degraded: true subject: 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. dc:creator: Franziska Hufsky, Ana B. Abecasis, Artem Babaian, Sebastian Beck, Liam Brierley, Simon Dellicour, Christian Eggeling, Santiago F. Elena, Udo Gieraths, Anh D. Ha, Will Harvey, Terry C. Jones, Kevin Lamkiewicz, Gabriel L. Lovate, Dominik Lücking, Martin Machyna, Luca Nishimura, Maximilian K. Nocke, Bernard Y. Renard, Shoichi Sakaguchi, Lygeri Sakellaridi, Jannes Spangenberg, Maria Tarradas-Alemany, Sandra Triebel, Yulia Vakulenko, Rajitha Yasas Wijesekara, Fernando González-Candelas, Sarah Krautwurst, Alba Pérez-Cataluña, Walter Randazzo, Gloria Sánchez and Manja Marz dcterms:created: 2023-09-30T08:42:21Z Last-Modified: 2023-09-30T08:45:34Z dcterms:modified: 2023-09-30T08:45:34Z dc:format: application/pdf; version=1.7 title: The International Virus Bioinformatics Meeting 2023 Last-Save-Date: 2023-09-30T08:45:34Z pdf:docinfo:creator_tool: LaTeX with hyperref access_permission:fill_in_form: true pdf:docinfo:keywords: bioinformatics; tools; machine learning; bacteriophages; virus discovery; virus classification; virus visualization; viral infection; viromics; molecular epidemiology; phylodynamic analysis; RNA viruses; viral sequence analysis; viral surveillance; metagenomics pdf:docinfo:modified: 2023-09-30T08:45:34Z meta:save-date: 2023-09-30T08:45:34Z pdf:encrypted: false dc:title: The International Virus Bioinformatics Meeting 2023 modified: 2023-09-30T08:45:34Z cp:subject: 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. pdf:docinfo:subject: 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. Content-Type: application/pdf pdf:docinfo:creator: Franziska Hufsky, Ana B. Abecasis, Artem Babaian, Sebastian Beck, Liam Brierley, Simon Dellicour, Christian Eggeling, Santiago F. Elena, Udo Gieraths, Anh D. Ha, Will Harvey, Terry C. Jones, Kevin Lamkiewicz, Gabriel L. Lovate, Dominik Lücking, Martin Machyna, Luca Nishimura, Maximilian K. Nocke, Bernard Y. Renard, Shoichi Sakaguchi, Lygeri Sakellaridi, Jannes Spangenberg, Maria Tarradas-Alemany, Sandra Triebel, Yulia Vakulenko, Rajitha Yasas Wijesekara, Fernando González-Candelas, Sarah Krautwurst, Alba Pérez-Cataluña, Walter Randazzo, Gloria Sánchez and Manja Marz X-Parsed-By: org.apache.tika.parser.DefaultParser creator: Franziska Hufsky, Ana B. Abecasis, Artem Babaian, Sebastian Beck, Liam Brierley, Simon Dellicour, Christian Eggeling, Santiago F. Elena, Udo Gieraths, Anh D. Ha, Will Harvey, Terry C. Jones, Kevin Lamkiewicz, Gabriel L. Lovate, Dominik Lücking, Martin Machyna, Luca Nishimura, Maximilian K. Nocke, Bernard Y. Renard, Shoichi Sakaguchi, Lygeri Sakellaridi, Jannes Spangenberg, Maria Tarradas-Alemany, Sandra Triebel, Yulia Vakulenko, Rajitha Yasas Wijesekara, Fernando González-Candelas, Sarah Krautwurst, Alba Pérez-Cataluña, Walter Randazzo, Gloria Sánchez and Manja Marz meta:author: Franziska Hufsky, Ana B. Abecasis, Artem Babaian, Sebastian Beck, Liam Brierley, Simon Dellicour, Christian Eggeling, Santiago F. Elena, Udo Gieraths, Anh D. Ha, Will Harvey, Terry C. Jones, Kevin Lamkiewicz, Gabriel L. Lovate, Dominik Lücking, Martin Machyna, Luca Nishimura, Maximilian K. Nocke, Bernard Y. Renard, Shoichi Sakaguchi, Lygeri Sakellaridi, Jannes Spangenberg, Maria Tarradas-Alemany, Sandra Triebel, Yulia Vakulenko, Rajitha Yasas Wijesekara, Fernando González-Candelas, Sarah Krautwurst, Alba Pérez-Cataluña, Walter Randazzo, Gloria Sánchez and Manja Marz dc:subject: bioinformatics; tools; machine learning; bacteriophages; virus discovery; virus classification; virus visualization; viral infection; viromics; molecular epidemiology; phylodynamic analysis; RNA viruses; viral sequence analysis; viral surveillance; metagenomics meta:creation-date: 2023-09-30T08:42:21Z created: 2023-09-30T08:42:21Z access_permission:extract_for_accessibility: true access_permission:assemble_document: true xmpTPg:NPages: 27 Creation-Date: 2023-09-30T08:42:21Z pdf:charsPerPage: 4568 access_permission:extract_content: true access_permission:can_print: true meta:keyword: bioinformatics; tools; machine learning; bacteriophages; virus discovery; virus classification; virus visualization; viral infection; viromics; molecular epidemiology; phylodynamic analysis; RNA viruses; viral sequence analysis; viral surveillance; metagenomics Author: Franziska Hufsky, Ana B. Abecasis, Artem Babaian, Sebastian Beck, Liam Brierley, Simon Dellicour, Christian Eggeling, Santiago F. Elena, Udo Gieraths, Anh D. Ha, Will Harvey, Terry C. Jones, Kevin Lamkiewicz, Gabriel L. Lovate, Dominik Lücking, Martin Machyna, Luca Nishimura, Maximilian K. Nocke, Bernard Y. Renard, Shoichi Sakaguchi, Lygeri Sakellaridi, Jannes Spangenberg, Maria Tarradas-Alemany, Sandra Triebel, Yulia Vakulenko, Rajitha Yasas Wijesekara, Fernando González-Candelas, Sarah Krautwurst, Alba Pérez-Cataluña, Walter Randazzo, Gloria Sánchez and Manja Marz producer: pdfTeX-1.40.21 access_permission:can_modify: true pdf:docinfo:producer: pdfTeX-1.40.21 pdf:docinfo:created: 2023-09-30T08:42:21Z