Department of Integrative Biology & Pharmacology, University of Texas Health Science Center at Houston, Houston, TX 77030, USA; Institute of Molecular Medicine, University of Texas Health Science Center at Houston, Houston, TX 77030, USA; School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
Institute of Molecular Medicine, University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
J Biomed Inform. 2019 Jun;94:103192. doi: 10.1016/j.jbi.2019.103192. Epub 2019 Apr 29.
To probe the complexity of modern diseases, multidisciplinary approaches are increasingly applied. Typically underpinning such studies are collaborations between wet bench experimentalists and dry lab bioinformaticians. Despite the need, bioinformatics collaborators remain difficult to find. Therefore, we undertook a study to understand the nature of this research, so that we may better understand how to meet the needs of future multidisciplinary projects. To accomplish this, we have performed a retrospective study of data from three years of projects performed by the UTHealth Bioinformatics Service Center. Based on this, we found that the bioinformatics in these collaborative projects are extremely diverse and require a high degree of intellectual engagement, while requiring only a small amount of publishable methods development. Very few of the specific skills, the strength of a service core, could be recycled across projects, which were generally exploratory and open-ended and required cycles of biological hypothesis development and (in silico) testing. We find that biomedical research requires bioinformaticians that are highly trained, having the ability to think biologically, but investigating using computational rather than bench experiments. This is in contrast to the activities that are typically the basis for an independent career in biomedical informatics, namely developing new software and algorithms. These findings suggest that to foster team-based multidisciplinary research, institutions must adopt policies that recognize contributions to research by applied bioinformatics scientists.
为了探究现代疾病的复杂性,多学科方法被越来越多地应用。通常,这类研究的基础是湿实验员和干实验生物信息学家之间的合作。尽管有这种需求,但生物信息学合作者仍然很难找到。因此,我们进行了一项研究,以了解这种研究的本质,以便我们更好地了解如何满足未来多学科项目的需求。为了实现这一目标,我们对 UTHealth 生物信息服务中心三年项目的数据进行了回顾性研究。基于此,我们发现这些合作项目中的生物信息学非常多样化,需要高度的智力投入,同时只需要少量可发表的方法开发。很少有特定的技能,即服务核心的优势,可以在项目之间重复使用,这些项目通常是探索性的和开放式的,需要生物假设开发和(计算)测试的周期。我们发现,生物医学研究需要经过高度训练的生物信息学家,他们有能力进行生物学思考,但使用计算而不是实验来进行研究。这与通常作为生物医学信息学独立职业基础的活动形成对比,即开发新的软件和算法。这些发现表明,为了促进基于团队的多学科研究,机构必须采取政策,承认应用生物信息学科学家对研究的贡献。