GE-mini statistics

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Citations per year

Number of citations per year for the bioinformatics software tool GE-mini
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Tool usage distribution map

This map represents all the scientific publications referring to GE-mini per scientific context
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Associated diseases

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GE-mini specifications

Information


Unique identifier OMICS_14724
Name GE-mini
Alternative name Gene Explorer
Interface Web user interface
Restrictions to use None
Input data Gene symbol, alias, or gene ID
Computer skills Basic
Stability Stable
Maintained Yes

Maintainer


  • person_outline Xueda Hu

Information


Unique identifier OMICS_14724
Name GE-mini
Alternative name Gene Explorer
Software type Package/Module
Interface Graphical user interface
Restrictions to use None
Input data Gene symbol, alias, or gene ID
Computer skills Medium
Stability Stable
Mobile operating system iOS, Android
Maintained Yes

Versioning


No version available

Maintainer


  • person_outline Xueda Hu

Publication for Gene Explorer

GE-mini citations

 (2)
library_books

Retinol dehydrogenase 10 promotes development and progression of human glioma via the TWEAK NF κB axis

2017
Oncotarget
PMCID: 5739636
PMID: 29285249
DOI: 10.18632/oncotarget.22166

[…] s unclear whether the poor effect of RA treatment in glioma patients was associated with the RDH10 expression.In this study, we analyzed the biological function of RDH10 in human gliomas. Analysis of GE-mini dataset demonstrated that the expression of RDH10 is increased in gliomas compared to normal brain tissues, especially in GBM []. In addition, high RDH10 expression was associated with maligna […]

library_books

Transcriptome Analysis Reveals Differential Splicing Events in IPF Lung Tissue

2014
PLoS One
PMCID: 3960165
PMID: 24647608
DOI: 10.1371/journal.pone.0092111

[…] have developed an internet application which allows users to view the results of our RNA-Seq study interactively, and to compare them with results of previously published microarray studies: The IPF Gene Explorer, available from the project website link at http://montgomerylab.stanford.edu/resources.html. We hope that this application will make gene expression results more accessible to researche […]


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GE-mini institution(s)
College of Life Sciences and BIOPIC, Peking University, Beijing, China
GE-mini funding source(s)
This work was supported by National Natural Science Foundation of China (Program 31530036, 81573022), Key Technologies R&D Program (2016YFC0900100) and funding for Beijing Advanced Innovation Center for Genomics.

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