Biological Databases for Hematology Research

Qian Zhang; Nan Ding; Lu Zhang; Xuetong Zhao; Yadong Yang; Hongzhu Qu; Xiangdong Fang

doi:10.1016/j.gpb.2016.10.004

Biological Databases for Hematology Research

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

Authors

Qian Zhang¹, Nan Ding¹, Lu Zhang², Xuetong Zhao², Yadong Yang², Hongzhu Qu¹, Xiangdong Fang³

Affiliations

¹ CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
² 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.
³ CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China. Electronic address: fangxd@big.ac.cn.

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.

Publication types

Review

MeSH terms

Computational Biology
Databases, Factual*
Hematologic Diseases / genetics
Hematologic Diseases / metabolism
Hematologic Diseases / pathology*
Humans
Research

Grants and funding

R03 AA020101/AA/NIAAA NIH HHS/United States