Milan Thomas, Wilhelm Brian T
Laboratory for High Throughput Biology, Institute for Research in Immunology and Cancer, Université de Montréal, Station Centre-Ville, P.O. Box 6128, Montreal, QC, H3C 3J7, Canada.
Department of Medicine, Université de Montréal, Montréal, QC, Canada.
Mol Diagn Ther. 2017 Jun;21(3):249-258. doi: 10.1007/s40291-017-0264-1.
The development of next-generation sequencing technologies has had a profound impact on the field of cancer genomics. With the enormous quantities of data being generated from tumor samples, researchers have had to rapidly adapt tools or develop new ones to analyse the raw data to maximize its value. While much of this effort has been focused on improving specific algorithms to get faster and more precise results, the accessibility of the final data for the research community remains a significant problem. Large amounts of data exist but are not easily available to researchers who lack the resources and experience to download and reanalyze them. In this article, we focus on RNA-seq analysis in the context of cancer genomics and discuss the bioinformatic tools available to explore these data. We also highlight the importance of developing new and more intuitive tools to provide easier access to public data and discuss the related issues of data sharing and patient privacy.
新一代测序技术的发展对癌症基因组学领域产生了深远影响。随着从肿瘤样本中产生的海量数据，研究人员不得不迅速调整工具或开发新工具来分析原始数据，以最大化其价值。虽然大部分努力都集中在改进特定算法以获得更快、更精确的结果，但研究界最终数据的可获取性仍然是一个重大问题。存在大量数据，但缺乏下载和重新分析资源及经验的研究人员却难以获取这些数据。在本文中，我们聚焦于癌症基因组学背景下的RNA测序分析，并讨论可用于探索这些数据的生物信息学工具。我们还强调了开发更新颖、更直观的工具以更便捷地获取公共数据的重要性，并讨论了数据共享和患者隐私的相关问题。
