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Biological Databases for Hematology Research

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 researc...

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Detalles Bibliográficos
Autores principales: Zhang, Qian, Ding, Nan, Zhang, Lu, Zhao, Xuetong, Yang, Yadong, Qu, Hongzhu, Fang, Xiangdong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5200935/
https://www.ncbi.nlm.nih.gov/pubmed/27965103
http://dx.doi.org/10.1016/j.gpb.2016.10.004
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author Zhang, Qian
Ding, Nan
Zhang, Lu
Zhao, Xuetong
Yang, Yadong
Qu, Hongzhu
Fang, Xiangdong
author_facet Zhang, Qian
Ding, Nan
Zhang, Lu
Zhao, Xuetong
Yang, Yadong
Qu, Hongzhu
Fang, Xiangdong
author_sort Zhang, Qian
collection PubMed
description 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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spelling pubmed-52009352017-01-06 Biological Databases for Hematology Research Zhang, Qian Ding, Nan Zhang, Lu Zhao, Xuetong Yang, Yadong Qu, Hongzhu Fang, Xiangdong Genomics Proteomics Bioinformatics Resource Review 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. Elsevier 2016-12 2016-12-11 /pmc/articles/PMC5200935/ /pubmed/27965103 http://dx.doi.org/10.1016/j.gpb.2016.10.004 Text en © 2016 The Authors. Production and hosting by Elsevier B.V. on behalf of Beijing Institute of Genomics, Chinese Academy of Sciences and Genetics Society of China. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Resource Review
Zhang, Qian
Ding, Nan
Zhang, Lu
Zhao, Xuetong
Yang, Yadong
Qu, Hongzhu
Fang, Xiangdong
Biological Databases for Hematology Research
title Biological Databases for Hematology Research
title_full Biological Databases for Hematology Research
title_fullStr Biological Databases for Hematology Research
title_full_unstemmed Biological Databases for Hematology Research
title_short Biological Databases for Hematology Research
title_sort biological databases for hematology research
topic Resource Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5200935/
https://www.ncbi.nlm.nih.gov/pubmed/27965103
http://dx.doi.org/10.1016/j.gpb.2016.10.004
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