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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2016
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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. |
format | Online Article Text |
id | pubmed-5200935 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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