Papers › Ten Quick Tips for Harnessing the Power of ChatGPT/GPT-4 in Computational Biology

Ten Quick Tips for Harnessing the Power of ChatGPT/GPT-4 in Computational Biology

29 Mar 2023arXiv:2303.16429archive 2025-07-28

Tiago Lubiana, Rafael Lopes, Pedro Medeiros, Juan Carlo Silva, Andre Nicolau Aquime Goncalves, Vinicius Maracaja-Coutinho, Helder I Nakaya

The rise of advanced chatbots, such as ChatGPT, has sparked curiosity in the scientific community. ChatGPT is a general-purpose chatbot powered by large language models (LLMs) GPT-3.5 and GPT-4, with the potential to impact numerous fields, including computational biology. In this article, we offer ten tips based on our experience with ChatGPT to assist computational biologists in optimizing their workflows. We have collected relevant prompts and reviewed the nascent literature in the field, compiling tips we project to remain pertinent for future ChatGPT and LLM iterations, ranging from code refactoring to scientific writing to prompt engineering. We hope our work will help bioinformaticians to complement their workflows while staying aware of the various implications of using this technology. Additionally, to track new and creative applications for bioinformatics tools such as ChatGPT, we have established a GitHub repository at https://github.com/csbl-br/awesome-compbio-chatgpt. Our belief is that ethical adherence to ChatGPT and other LLMs will increase the efficiency of computational biologists, ultimately advancing the pace of scientific discovery in the life sciences.

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ChatbotPrompt Engineeringscientific discovery

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AWAREAbsolute Position EncodingsAdamAttentionAttention DropoutBPECosine AnnealingDense ConnectionsDropoutGPT-3Label SmoothingLayer NormalizationLinear LayerLinear Warmup With Cosine AnnealingMulti-Head AttentionPosition-Wise Feed-Forward LayerResidual ConnectionSoftmaxTransformerWeight Decay

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