Reducing language barriers, promoting information absorption, and communication using fanyi Article Swipe
Difei Wang
,
Guannan Chen
,
Lin Li
,
Shaodi Wen
,
Zijing Xie
,
Xiao Luo
,
Li Zhan
,
Shuangbin Xu
,
Junrui Li
,
Rui Wang
,
Qianwen Wang
,
Guangchuang Yu
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1097/cm9.0000000000003242
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1097/cm9.0000000000003242
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.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1097/cm9.0000000000003242
- OA Status
- gold
- References
- 23
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4400930523
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4400930523Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1097/cm9.0000000000003242Digital Object Identifier
- Title
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Reducing language barriers, promoting information absorption, and communication using fanyiWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-07-22Full publication date if available
- Authors
-
Difei Wang, Guannan Chen, Lin Li, Shaodi Wen, Zijing Xie, Xiao Luo, Li Zhan, Shuangbin Xu, Junrui Li, Rui Wang, Qianwen Wang, Guangchuang YuList of authors in order
- Landing page
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https://doi.org/10.1097/cm9.0000000000003242Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1097/cm9.0000000000003242Direct OA link when available
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Biomedicine, Computer science, Process (computing), Translation (biology), Data science, World Wide Web, Bioinformatics, Gene, Chemistry, Biology, Biochemistry, Operating system, Messenger RNATop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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23Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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