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Review
. 2016 Dec;14(6):333-337.
doi: 10.1016/j.gpb.2016.10.004. Epub 2016 Dec 11.

Biological Databases for Hematology Research

Affiliations
Review

Biological Databases for Hematology Research

Qian Zhang et al. Genomics Proteomics Bioinformatics. 2016 Dec.

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.

Keywords: Bioinformatics; Database; Hematological diseases; Hematology; Omics data resources.

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Figures

Figure 1
Figure 1
Integrated figure of database in the fields of hematopoiesis and blood diseases The 10 database mentioned in the current review are classified into 3 categories. Four databases marked with red petals on the left side of the flower are disease databases, providing biological data of hematopoietic disorders. Another four databases marked with blue petals on the right side of the flower are hematopoiesis database, providing information on normal hematopoietic development. The remaining two databases marked in yellow in the center of the flower are integrated databases. DBA, Diamond-Blackfan anemia; ErythronDB, the Erythron Database.

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