ArticleAnnals of biomedical engineering2024
Code Interpreter for Bioinformatics: Are We There Yet?
Article in Annals of biomedical engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed.
- Leveraging chatgpt' s advanced data analysis for forensic science research and applications.Forensic science, medicine, and pathology · 2026Article
- Leveraging Artificial Intelligence to Advance Bioinformatics in Africa: Opportunities, Challenges, and Ethical Considerations in Combating Antimicrobial Resistance.Bioinformatics and biology insights · 2026Article
- Bridging artificial intelligence and biological sciences: a comprehensive review of large language models in bioinformatics.Briefings in bioinformatics · 2025Review
- ChatGPT for Univariate Statistics: Validation of AI-Assisted Data Analysis in Healthcare Research.Journal of medical Internet research · 2025Article
- A case study on using a large language model to analyze continuous glucose monitoring data.Scientific reports · 2025Article
- Bioinformatics and biomedical informatics with ChatGPT: Year one review.Quantitative biology (Beijing, China) · 2024Article
- Steering veridical large language model analyses by correcting and enriching generated database queries: first steps toward ChatGPT bioinformatics.Briefings in bioinformatics · 2024Article
- The transformative impact of large language models on medical writing and publishing: current applications, challenges and future directions.The Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology · 2024Review
- Article
- Data science through natural language with ChatGPT's Code Interpreter.Translational and clinical pharmacology · 2024Article
- Special Issue "Bioinformatics of Unusual DNA and RNA Structures".International journal of molecular sciences · 2024Article
- On the Responsible Use of Chatbots in Bioinformatics.Genomics, proteomics & bioinformatics · 2024Article
- Scientific figures interpreted by ChatGPT: strengths in plot recognition and limits in color perception.NPJ precision oncology · 2024Article
- Large language models streamline automated machine learning for clinical studies.Nature communications · 2024Article
- Article
- Bioinformatics Illustrations Decoded by ChatGPT: The Good, The Bad, and The Ugly.bioRxiv : the preprint server for biology · 2023Article
- Harnessing Code Interpreters for Enhanced Predictive Modeling: A Case Study on High-Density Lipoprotein Level Estimation in Romanian Diabetic Patients.Journal of personalized medicine · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
The Code Interpreter feature in ChatGPT has the potential to democratize data analysis for non-specialists. As bioinformaticians, we are impressed by its performance in data manipulation and visualization. However, bioinformatics tasks often require execution of third-party packages, access to annotation knowledgebase, and handling large datasets. Code Interpreter's exclusive support for Python, no installation option for additional packages, inability to utilize external resources, and limited storage capacity could pose obstacles to its wide adoption in bioinformatics applications. To address these limitations, we advocated for the necessity of locally deployable, API-based systems for chatbot-aided bioinformatics applications.
Indexed as
Identifiers
37482573What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.