Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA.
Bioinformatics. 2020 Jun 1;36(12):3932-3934. doi: 10.1093/bioinformatics/btaa240.
Micro-blogging with Twitter to communicate new results, discuss ideas and share techniques is becoming central. While most Twitter users are real people, the Twitter API provides the opportunity to develop Twitter bots and to analyze global trends in tweets.
EnrichrBot is a bot that tracks and tweets information about human genes implementing six principal functions: (i) tweeting information about under-studied genes including non-coding lncRNAs, (ii) replying to requests for information about genes, (iii) responding to GWASbot, another bot that tweets Manhattan plots from genome-wide association study analysis of the UK Biobank, (iv) tweeting randomly selected gene sets from the Enrichr database for analysis with Enrichr, (v) responding to mentions of human genes in tweets with additional information about these genes and (vi) tweeting a weekly report about the most trending genes on Twitter.
https://twitter.com/botenrichr; source code: https://github.com/MaayanLab/EnrichrBot.
Supplementary data are available at Bioinformatics online.
使用 Twitter 进行微博交流以发布新成果、讨论想法和分享技术正变得越来越重要。虽然大多数 Twitter 用户都是真实的人,但 Twitter API 提供了开发 Twitter 机器人和分析推文全球趋势的机会。
EnrichrBot 是一个跟踪和发布有关人类基因信息的机器人,它实现了六个主要功能:(i)发布有关研究不足的基因(包括非编码 lncRNA)的信息,(ii)回复有关基因的信息请求,(iii)响应 GWASbot,另一个发布英国生物银行全基因组关联研究分析曼哈顿图的机器人,(iv)发布从 Enrichr 数据库中随机选择的基因集,以便使用 Enrichr 进行分析,(v)响应推文提到的人类基因,并提供有关这些基因的其他信息,(vi)每周发布有关 Twitter 上最热门基因的报告。
https://twitter.com/botenrichr;源代码:https://github.com/MaayanLab/EnrichrBot。
补充数据可在 Bioinformatics 在线获取。