近日，中国工程院院士、中国海洋大学海洋生物遗传学与育种教育部重点实验室主任包振民和王师 教授团队在国际生物信息数据库领域知名期刊《核酸研究》发表论文，发布了面向全球格局的海洋微生 物综合多组学资源数据库——Ocean-M。 随着海洋微生物多维度组学数据的快速增长，全球海洋微生物学研究正面临前所未有的数据整合与 深度分析挑战。现有数据库多以数据资源存储和分析工具为主，缺乏对多源异构数据的系统挖掘与深度 解析，如何实现复杂、高维、海量的海洋微生物数据的系统整合，实现从"单一物种"到"多维生态位"的 全面深度解析仍是亟待突破的难题。为应对这一挑战，研究团队开发了Ocean-M平台，构建了全球海洋 微生物多组学综合资源数据库Ocean-M，打破了传统数据库的局限，形成了"组学资源—生态互作—功 能挖掘"一体化深度研究平台。 Ocean-M数据库整合了全球多生境、多尺度的海洋微生物多组学数据，成为海洋微生物研究领域最 全面的开放获取数据库。平台汇集了来自全球不同海洋生态系统的57000余个微生物数据，涵盖宏基因 组、宏转录组、宏蛋白质组、宏代谢组等多个层次，样本涵盖了从极地到赤道、从表层到深海的完整生 态梯度。该数据库 ...

Core Viewpoint - The article emphasizes the integration of AI tools, particularly DeepSeek, in enhancing research methodologies in bioinformatics, specifically in the analysis of multi-omics data and the design of research projects [1][3][29]. Course Structure - The course includes practical sessions on AI-assisted design of research topics, focusing on multi-omics data analysis, including metabolomics, proteomics, and genomics [3][30]. - It covers the use of AI for efficient reading and summarizing of CNS literature, as well as the evaluation of innovative ideas and data analysis feasibility in bioinformatics [3][29]. AI Applications in Bioinformatics - AI is utilized for sample grouping, data filtering from public databases, and visualizing bioinformatics analysis results [4][19]. - The course includes modules on machine learning applications in metabolomics, proteomics, and transcriptomics, highlighting various algorithms and their implementations [33][40]. Research Methodologies - The curriculum emphasizes the importance of understanding and applying various statistical and machine learning methods for data analysis, including regression models and clustering techniques [44][40]. - It also includes practical coding sessions to replicate high-level research from CNS articles, enhancing hands-on experience [50][51]. Continuous Support and Learning - The program offers ongoing support and one-on-one guidance even after course completion, ensuring that participants can effectively apply their learning in real-world scenarios [22][24][50]. - The course is designed to be flexible, allowing participants to revisit materials and receive assistance as needed [22][26].

Group 1: Historical Significance - The Zhejiang Surrender Memorial Hall serves as a crucial site for commemorating the collective memory of the Chinese people during the Anti-Japanese War, being one of the two existing surrender-themed memorials in the country [2][4] - The memorial features five exhibition units: "Invasion Atrocities," "Unyielding Resistance," "Celebrating Victory," "Accepting Surrender," and "Judging War Criminals," allowing visitors to experience the transition from dark wartime to post-war light [2][4] Group 2: Educational and Cultural Impact - The memorial has become a popular site for patriotic education, especially in the year marking the 80th anniversary of the victory in the Anti-Japanese War, attracting significant public interest [4] - A recent donation of 21 historical artifacts related to the war by a local youth reflects the community's commitment to preserving history and passing on national spirit [4] Group 3: Economic Development - The town of Shouxiang has evolved economically since the reform and opening-up period, achieving a per capita annual income of 9,600 yuan by 2005 and entering the top 100 towns in Zhejiang Province [5] - The area is developing a comprehensive growth framework supported by major transportation projects, including the Metro Line 6 and various highways, enhancing connectivity and economic prospects [5][6] Group 4: Industry Growth - The Silver Lake Biological Information Industry Park, a key project in Zhejiang's "152" initiative, has attracted numerous cutting-edge institutions, focusing on critical fields such as drug research and medical technology [5] - The G320 Intelligent Connected Vehicle Industry Corridor aims to establish a robust industry presence, targeting a scale of over 30 billion yuan by 2026 [6]