医学教育管理 ›› 2022, Vol. 8 ›› Issue (5): 536-541.doi: 10.3969/j.issn.2096-045X.2022.05.006

• 研究生教育 • 上一篇    下一篇

NGS分析教学实操平台的开发与应用

王  晶,  刘  旭,  段  荦,  程  杉   

  1. 首都医科大学基础医学院,北京100069
  • 收稿日期:2021-10-15 出版日期:2022-10-20 发布日期:2022-11-08
  • 通讯作者: 程杉

Development and application of a platform supporting NGS analysis protocols for training

Wang Jing, Liu Xu, Duan Luo, Cheng Shan   

  1. School of Basic Medical Sciences, Capital Medical University, Beijing 100069, China
  • Received:2021-10-15 Online:2022-10-20 Published:2022-11-08

摘要: 随着测序技术的发展和成本的大幅降低,数据大量累积,对测序数据的生物信息学分析需求持续增加。DNA测序和RNA测序基础分析逐渐形成了通用的标准化规范,同时,随着个人计算机运算能力的提升,使得过去许多专业的数据分析已向用户自助操作转变。为解决在医学院校教学中,常用二代测序(NGS)数据分析中所遇到软硬件门槛,及相关专业基础较薄弱等问题,为高通量测序数据分析课程的实操环节专门开发的、具有图形界面的、全Window环境的软件平台BIONEO,在实际测试和运行中获得了良好的教学效果及反馈评价。该系统不仅为解决生物信息学实验教学中的常见问题提供了一个有效的解决方案,还可以使学生在完成有效和良好体验培训的同时,直接利用本软件提供的环境尝试解决一些科研实践中的具体操作问题。

关键词: NGS测序数据分析, 生物信息学, 软件开发, 实验课教学, 教学改革, 医学遗传学

Abstract: With the drastically reduced costs in development of sequencing technology, together with the volume increase of shared sequencing data from laboratories worldwide, the demands for bioinformatics operation has been continuously exploding. Standardized protocols for discovery of mutations screening from DNA sequencing and differential analysis from RNA sequencing are gradually formed, therefore previously some professional analyses of NGS data can be performed in a user self-facilitated fashion with the evolved capacity of personal computers. To overwhelm the high bars of both software and hardware for NGS data processing, especially for medical students with inadequate mathematical and/or experiences to Linux operation systems, we developed a platform, called BIONEO (running under windows system with graphical interface), to support the laboratory training sessions for “High Through-Put Sequencing Data Analysis”. After being tested and operated for several rounds, we received satisfactory feedback and remarkable evaluation from both students and professional colleagues, with regards to the ease in operation and learning. Our novel system of BIONEO not only provided a solution for solving the common problems in bioinformatics practical training, and also allowed the trainees to explore with the data from research projects based on their learning. 

Key words: NGS data analysis, bioinformatics, software development, laboratory course, teaching reform, medical genetics

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