Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, 8 Medical Drive, Singapore.
BMC Genomics. 2009 Dec 3;10 Suppl 3(Suppl 3):S36. doi: 10.1186/1471-2164-10-S3-S36.
The development of high throughput experimental technologies have given rise to the "-omics" era where terabyte-scale datasets for systems-level measurements of various cellular and molecular phenomena pose considerable challenges in data processing and extraction of biological meaning. Moreover, it has created an unmet need for the effective integration of these datasets to achieve insights into biological systems. While it has increased the demand for bioinformatics experts who can interface with biologists, it has also raised the requirement for biologists to possess a basic capability in bioinformatics and to communicate seamlessly with these experts. This may be achieved by embedding in their undergraduate and graduate life science education, basic training in bioinformatics geared towards acquiring a minimum skill set in computation and informatics.
Based on previous attempts to define curricula suitable for addressing the bioinformatics capability gap, an initiative was taken during the Workshops on Education in Bioinformatics and Computational Biology (WEBCB) in 2008 and 2009 to identify a minimum skill set for the training of future bioinformaticians and molecular biologists with informatics capabilities. The minimum skill set proposed is cross-disciplinary in nature, involving a combination of knowledge and proficiency from the fields of biology, computer science, mathematics and statistics, and can be tailored to the needs of the "-omics".
The proposed bioinformatics minimum skill set serves as a guideline for biology curriculum design and development in universities at both the undergraduate and graduate levels.
高通量实验技术的发展催生了“组学”时代,在这个时代,对各种细胞和分子现象进行系统水平测量的兆字节级数据集在数据处理和提取生物学意义方面带来了相当大的挑战。此外,这也产生了有效整合这些数据集以深入了解生物系统的未满足需求。虽然这增加了对能够与生物学家合作的生物信息学专家的需求,但也提高了生物学家在生物信息学方面的基本能力要求,并与这些专家进行无缝沟通的要求。这可以通过在本科和研究生生命科学教育中嵌入基本的生物信息学培训来实现,培训的目标是获得计算和信息学方面的最低技能集。
基于之前尝试定义适合解决生物信息学能力差距的课程的努力,在 2008 年和 2009 年的生物信息学和计算生物学教育研讨会上,我们提出了一项倡议,旨在确定未来的生物信息学家和具有信息学能力的分子生物学家的最低技能集。拟议的最低技能集具有跨学科性质,涉及生物学、计算机科学、数学和统计学领域的知识和熟练程度的结合,并且可以根据“组学”的需求进行调整。
所提出的生物信息学最低技能集可作为大学本科和研究生生物课程设计和开发的指南。