Zhang Q, Ding N, Zhang L, Zhao X, Yang Y, Qu H, Fang X. Biological Databases for Hematology Research.
Genomics Proteomics Bioinformatics 2016;
14:333-337. [PMID:
27965103 PMCID:
PMC5200935 DOI:
10.1016/j.gpb.2016.10.004]
[Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/29/2016] [Revised: 09/29/2016] [Accepted: 10/13/2016] [Indexed: 01/14/2023]
Abstract
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.
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