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Reducing language barriers, promoting information absorption, and communication using fanyi
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Journal Article
Reducing language barriers, promoting information absorption, and communication using fanyi
2024
Overview
Abstract
Interpreting genes of interest is essential for identifying molecular mechanisms, but acquiring such information typically involves tedious manual retrieval. To streamline this process, the fanyi package offers tools to retrieve gene information from sources like National Center for Biotechnology Information (NCBI), significantly enhancing accessibility. Additionally, understanding the latest research advancements and sharing achievements are crucial for junior researchers. However, language barriers often restrict knowledge absorption and career development. To address these challenges, we developed the fanyi package, which leverages artificial intelligence (AI)-driven online translation services to accurately translate among multiple languages. This dual functionality allows researchers to quickly capture and comprehend information, promotes a multilingual environment, and fosters innovation in academic community. Meanwhile, the translation functions are versatile and applicable beyond biomedicine research to other domains as well. The fanyi package is freely available at https://github.com/YuLab-SMU/fanyi.
Publisher
Lippincott Williams & Wilkins,Lippincott Williams & Wilkins Ovid Technologies,Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, China%Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, China%Comprehensive Technology Center of Lianyungang Customs, Lianyungang, Jiangsu 222042, China%Department of Oncology, The Affiliated Cancer Hospital of Nanjing Medical University & Jiangsu Cancer Hospital, Nanjing, Jiangsu 210009, China%Department of Laboratory Medicine, Microbiome Medicine Center, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, China,Wolters Kluwer
