Allcock Richard James Nigel
School of Pathology and Laboratory Medicine, University of Western Australia, M574 Stirling Highway, Nedlands, WA, 6009, Australia,
Methods Mol Biol. 2014;1168:17-29. doi: 10.1007/978-1-4939-0847-9_2.
The bioinformatics requirements within the clinical environment are very specific, and analytic techniques need to be fit for purpose, robust, and predictable. At the same time, the bewildering amount of information produced during these analyses needs to be carefully managed, used and interpreted correctly. The challenge for clinical laboratories now is to implement production analytical processes that are capable of handling different experimental approaches on current equipment, as well as to incorporate ways for these systems to evolve to take account of developments likely to make impacts in the near future. This is complicated by the many options available at each of the critical processing steps and a clear method needs to be developed to assemble appropriate pipelines. Here, I discuss the issues relevant to the development of an informatics pipeline that meets these criteria that should allow individual laboratories to assess their proposed strategies.
临床环境中的生物信息学要求非常特殊,分析技术需要适用、稳健且可预测。与此同时,这些分析过程中产生的海量信息需要得到妥善管理、正确使用和解读。临床实验室目前面临的挑战是实施能够在现有设备上处理不同实验方法的生产分析流程,以及纳入使这些系统能够发展以考虑到近期可能产生影响的发展趋势的方法。每个关键处理步骤都有众多选项,这使得情况变得复杂,因此需要开发一种清晰的方法来组装合适的流程。在此,我将讨论与开发符合这些标准的信息学流程相关的问题,这应能让各个实验室评估其提议的策略。