OCGene: a database of experimentally verified ovarian cancer-related genes with precomputed regulation information

Yining Liu; J Xia; J Sun; Min Zhao

doi:10.1038/cddis.2015.380

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OCGene: a database of experimentally verified ovarian cancer-related genes with precomputed regulation information

Editorial

Open access

OCGene: a database of experimentally verified ovarian cancer-related genes with precomputed regulation information

Yining Liu, J Xia, J Sun and Min Zhao

Cell Death and Disease, Vol.6, pp.1-2

2015

DOI: https://doi.org/10.1038/cddis.2015.380

PMCID: PMC4720911

PMID: 26720345

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Abstract

Oncology and Carcinogenesis

Biochemistry and Cell Biology

No abstract available.

Details

Title: OCGene: a database of experimentally verified ovarian cancer-related genes with precomputed regulation information
Authors: Yining Liu (Author) - University of the Sunshine Coast - Faculty of Science, Health, Education and Engineering
J Xia (Author) - Anhui University, China
J Sun (Author) - University of Texas, United States
Min Zhao (Author) - University of the Sunshine Coast - Faculty of Science, Health, Education and Engineering
Publication details: Cell Death and Disease, Vol.6, pp.1-2
Publisher: Nature Publishing Group
Date published: 2015
DOI: 10.1038/cddis.2015.380
ISSN: 2041-4889
PMID: 26720345; PMC4720911
Copyright note: Copyright © 2015 The Author. Cell Death and Disease is an open-access journal published by Nature Publishing Group. This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Organisation Unit: School of Science and Engineering - Legacy; GeneCology Research Centre - Legacy; School of Science, Technology and Engineering; Centre for Bioinnovation
Language: English
Record Identifier: 99450345402621
Output Type: Editorial

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