WikiPathways: connecting communities.
WikiPathways: connecting communities.
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DOI：
10.1093/nar/gkaa1024
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发表时间：
2021-01-08
影响因子：
14.9
通讯作者：
Kutmon M
中科院分区：
文献类型：
--
作者：
Martens M;Ammar A;Riutta A;Waagmeester A;Slenter DN;Hanspers K;A Miller R;Digles D;Lopes EN;Ehrhart F;Dupuis LJ;Winckers LA;Coort SL;Willighagen EL;Evelo CT;Pico AR;Kutmon M
WikiPathways（www.wikipathways.org）是一个生物学途径数据库，以其协作性质和开放科学方法而闻名。随着科学界在途径模型中开发和管理生物知识的核心理念，WikiPathways降低了访问和使用其内容的所有障碍。越来越多的内容创作者、倡议、项目和工具开始使用WikiPathways。WikiPathways的增长和使用增加的核心是关注分子途径特定子集的各种社区，例如罕见疾病和脂质代谢。从公布的途径数字的知识有助于优先途径的发展，使用光学字符和命名实体识别。我们展示了WikiPathways在过去三年中的发展，强调了新的社区和途径作者和策展人的合作，并描述了连接外部资源和计划的各种技术。通往可持续的，社区驱动的途径数据库的道路是通过与其他资源（如Wikidata）的整合，并允许更多地使用，管理和重新分发WikiPathways内容。WikiPathways使研究社区能够在分子途径策展方面进行合作，以创建可重复使用、机器可读的途径模型。路径集合是免费提供的，并与许多分析工具和资源集成。
WikiPathways (https://www.wikipathways.org) is a biological pathway database known for its collaborative nature and open science approaches. With the core idea of the scientific community developing and curating biological knowledge in pathway models, WikiPathways lowers all barriers for accessing and using its content. Increasingly more content creators, initiatives, projects and tools have started using WikiPathways. Central in this growth and increased use of WikiPathways are the various communities that focus on particular subsets of molecular pathways such as for rare diseases and lipid metabolism. Knowledge from published pathway figures helps prioritize pathway development, using optical character and named entity recognition. We show the growth of WikiPathways over the last three years, highlight the new communities and collaborations of pathway authors and curators, and describe various technologies to connect to external resources and initiatives. The road toward a sustainable, community-driven pathway database goes through integration with other resources such as Wikidata and allowing more use, curation and redistribution of WikiPathways content. WikiPathways enables research communities to collaborate on molecular pathway curation to create reusable, machine-readable pathway models. The pathway collections are freely available and integrated with many analysis tools and resources.
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影响因子：
14.9
作者：
Kuleshov MV;Jones MR;Rouillard AD;Fernandez NF;Duan Q;Wang Z;Koplev S;Jenkins SL;Jagodnik KM;Lachmann A;McDermott MG;Monteiro CD;Gundersen GW;Ma'ayan A
通讯作者：
Ma'ayan A
影响因子：
12.3
作者：
Kandasamy K;Mohan SS;Raju R;Keerthikumar S;Kumar GS;Venugopal AK;Telikicherla D;Navarro JD;Mathivanan S;Pecquet C;Gollapudi SK;Tattikota SG;Mohan S;Padhukasahasram H;Subbannayya Y;Goel R;Jacob HK;Zhong J;Sekhar R;Nanjappa V;Balakrishnan L;Subbaiah R;Ramachandra YL;Rahiman BA;Prasad TS;Lin JX;Houtman JC;Desiderio S;Renauld JC;Constantinescu SN;Ohara O;Hirano T;Kubo M;Singh S;Khatri P;Draghici S;Bader GD;Sander C;Leonard WJ;Pandey A
通讯作者：
Pandey A
影响因子：
4.3
作者：
Kutmon M;van Iersel MP;Bohler A;Kelder T;Nunes N;Pico AR;Evelo CT
通讯作者：
Evelo CT
影响因子：
14.9
作者：
Levchenko M;Gou Y;Graef F;Hamelers A;Huang Z;Ide-Smith M;Iyer A;Kilian O;Katuri J;Kim JH;Marinos N;Nambiar R;Parkin M;Pi X;Rogers F;Talo F;Vartak V;Venkatesan A;McEntyre J
通讯作者：
McEntyre J
影响因子：
4.3
作者：
Bohler A;Wu G;Kutmon M;Pradhana LA;Coort SL;Hanspers K;Haw R;Pico AR;Evelo CT
通讯作者：
Evelo CT