Zhang Qian, Ding Nan, Zhang Lu, Zhao Xuetong, Yang Yadong, Qu Hongzhu, Fang Xiangdong
CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China.
Genomics Proteomics Bioinformatics. 2016 Dec;14(6):333-337. doi: 10.1016/j.gpb.2016.10.004. Epub 2016 Dec 11.
With the advances of genome-wide sequencing technologies and bioinformatics approaches, a large number of datasets of normal and malignant erythropoiesis have been generated and made public to researchers around the world. Collection and integration of these datasets greatly facilitate basic research and clinical diagnosis and treatment of blood disorders. Here we provide a brief introduction of the most popular omics data resources of normal and malignant hematopoiesis, including some integrated web tools, to help users get better equipped to perform common analyses. We hope this review will promote the awareness and facilitate the usage of public database resources in the hematology research.
随着全基因组测序技术和生物信息学方法的进步，已经产生了大量正常和恶性红细胞生成的数据集，并向世界各地的研究人员公开。这些数据集的收集和整合极大地促进了血液疾病的基础研究以及临床诊断和治疗。在这里，我们简要介绍正常和恶性造血最常用的组学数据资源，包括一些集成网络工具，以帮助用户更好地进行常见分析。我们希望这篇综述能提高人们对血液学研究中公共数据库资源的认识，并促进其使用。
