本课程面向生物信息学入门者，讲解如何使用 ChatGPT 与提示词工程技术提升基因组、转录组与蛋白组数据的分析效率。你将学习 AI 在生物数据处理中的基本原理、实用工具、常见数据类型解析方法，并通过实际案例掌握结果生成与呈现技巧。课程同时涵盖数据质量、偏差与伦理问题，是科研人员与生命科学专业学习者探索生成式 AI 在生物信息学中应用的实用指南。
本教程为高质量英文原版视频课程，英文基础较弱的同学可通过翻译插件辅助学习。
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教程名称：Learn ChatGPT for bioinformatics and Prompt Engineering
下载连结：https://www.nidown.com/chatgpt-0482.html
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英文原版介绍
Published 5/2024
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 24m | Size: 671 MB
Introduction to AI and Unlocking the Power of Chatbots (ChatGpt) in Bioinformatics Research (Prompt Engineering)
What you’ll learn
An introduction to artificial intelligence and machine learning in bioinformatics.
Familiarity with popular AI-based tools and techniques for bioinformatics analysis.
Understanding of how to use ChatGpt to analyze various types of biological data, including genomics, transcriptomics, and proteomics.
Hands-on experience with real-world examples and datasets to apply AI techniques for bioinformatics analysis.
Best practices and considerations for using AI in bioinformatics, including data quality, bias, and ethics.
Strategies for effectively communicating and presenting bioinformatics analysis results.
Requirements
Since this course is designed to be beginner-friendly, there are no strict prerequisites for taking the course. However, students should have a basic understanding of bioinformatics and be familiar with programming concepts, as this will help them understand the material more effectively. Some familiarity with a programming language such as Python will be helpful, but not strictly required.
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