Pedro Beltrao , Tim Van Den Bossche , Ralf Gabriels , Tanja Holstein , Tobias Kockmann , Alireza Nameni , Christian Panse , Ralph Schlapbach , Ludwig Lautenbacher , Matthias Mattanovich , Alexey Nesvizhskii , Bart Van Puyvelde , Jonas Scheid , Veit Schwämmle , Maximilian Strauss , Anna Klimovskaia Susmelj , Matthew The , Henry Webel , Mathias Wilhelm , Dirk Winkelhardt , Muyao Xi
{"title":"EuBIC-MS 2023 年开发人员会议记录。","authors":"Pedro Beltrao , Tim Van Den Bossche , Ralf Gabriels , Tanja Holstein , Tobias Kockmann , Alireza Nameni , Christian Panse , Ralph Schlapbach , Ludwig Lautenbacher , Matthias Mattanovich , Alexey Nesvizhskii , Bart Van Puyvelde , Jonas Scheid , Veit Schwämmle , Maximilian Strauss , Anna Klimovskaia Susmelj , Matthew The , Henry Webel , Mathias Wilhelm , Dirk Winkelhardt , Muyao Xi","doi":"10.1016/j.jprot.2024.105246","DOIUrl":null,"url":null,"abstract":"<div><p>The 2023 European Bioinformatics Community for Mass Spectrometry (EuBIC-MS) Developers Meeting was held from January 15th to January 20th, 2023, in Congressi Stefano Franscin at Monte Verità in Ticino, Switzerland. The participants were scientists and developers working in computational mass spectrometry (MS), metabolomics, and proteomics. The 5-day program was split between introductory keynote lectures and parallel hackathon sessions focusing on “Artificial Intelligence in proteomics” to stimulate future directions in the MS-driven omics areas. During the latter, the participants developed bioinformatics tools and resources addressing outstanding needs in the community. The hackathons allowed less experienced participants to learn from more advanced computational MS experts and actively contribute to highly relevant research projects. We successfully produced several new tools applicable to the proteomics community by improving data analysis and facilitating future research.</p></div>","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1874391924001787/pdfft?md5=23c88ebe45db1805f49b3beed7f20df8&pid=1-s2.0-S1874391924001787-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Proceedings of the EuBIC-MS developers meeting 2023\",\"authors\":\"Pedro Beltrao , Tim Van Den Bossche , Ralf Gabriels , Tanja Holstein , Tobias Kockmann , Alireza Nameni , Christian Panse , Ralph Schlapbach , Ludwig Lautenbacher , Matthias Mattanovich , Alexey Nesvizhskii , Bart Van Puyvelde , Jonas Scheid , Veit Schwämmle , Maximilian Strauss , Anna Klimovskaia Susmelj , Matthew The , Henry Webel , Mathias Wilhelm , Dirk Winkelhardt , Muyao Xi\",\"doi\":\"10.1016/j.jprot.2024.105246\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The 2023 European Bioinformatics Community for Mass Spectrometry (EuBIC-MS) Developers Meeting was held from January 15th to January 20th, 2023, in Congressi Stefano Franscin at Monte Verità in Ticino, Switzerland. The participants were scientists and developers working in computational mass spectrometry (MS), metabolomics, and proteomics. The 5-day program was split between introductory keynote lectures and parallel hackathon sessions focusing on “Artificial Intelligence in proteomics” to stimulate future directions in the MS-driven omics areas. During the latter, the participants developed bioinformatics tools and resources addressing outstanding needs in the community. The hackathons allowed less experienced participants to learn from more advanced computational MS experts and actively contribute to highly relevant research projects. We successfully produced several new tools applicable to the proteomics community by improving data analysis and facilitating future research.</p></div>\",\"PeriodicalId\":2,\"journal\":{\"name\":\"ACS Applied Bio Materials\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2024-07-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S1874391924001787/pdfft?md5=23c88ebe45db1805f49b3beed7f20df8&pid=1-s2.0-S1874391924001787-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Applied Bio Materials\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1874391924001787\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MATERIALS SCIENCE, BIOMATERIALS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1874391924001787","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
Proceedings of the EuBIC-MS developers meeting 2023
The 2023 European Bioinformatics Community for Mass Spectrometry (EuBIC-MS) Developers Meeting was held from January 15th to January 20th, 2023, in Congressi Stefano Franscin at Monte Verità in Ticino, Switzerland. The participants were scientists and developers working in computational mass spectrometry (MS), metabolomics, and proteomics. The 5-day program was split between introductory keynote lectures and parallel hackathon sessions focusing on “Artificial Intelligence in proteomics” to stimulate future directions in the MS-driven omics areas. During the latter, the participants developed bioinformatics tools and resources addressing outstanding needs in the community. The hackathons allowed less experienced participants to learn from more advanced computational MS experts and actively contribute to highly relevant research projects. We successfully produced several new tools applicable to the proteomics community by improving data analysis and facilitating future research.
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