Bioinformatics and biomedical informatics with ChatGPT: Year one review

Author:

Wang Jinge1,Cheng Zien1,Yao Qiuming2,Liu Li34,Xu Dong5,Hu Gangqing1

Affiliation:

1. Department of Microbiology, Immunology & Cell Biology West Virginia University Morgantown West Virginia USA

2. School of Computing University of Nebraska‐Lincoln Lincoln Nebraska USA

3. College of Health Solutions Arizona State University Phoenix Arizona USA

4. Biodesign Institute Arizona State University Tempe Arizona USA

5. Department of Electrical Engineer and Computer Science Christopher S. Bond Life Sciences Center University of Missouri Columbia Missouri USA

Abstract

AbstractThe year 2023 marked a significant surge in the exploration of applying large language model chatbots, notably Chat Generative Pre‐trained Transformer (ChatGPT), across various disciplines. We surveyed the application of ChatGPT in bioinformatics and biomedical informatics throughout the year, covering omics, genetics, biomedical text mining, drug discovery, biomedical image understanding, bioinformatics programming, and bioinformatics education. Our survey delineates the current strengths and limitations of this chatbot in bioinformatics and offers insights into potential avenues for future developments.

Funder

National Institute of General Medical Sciences

U.S. National Library of Medicine

National Science Foundation

National Institute of Diabetes and Digestive and Kidney Diseases

Publisher

Wiley

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