scholarly journals ERgene: Python library for screening endogenous reference genes

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Zehua Zeng ◽  
Yuzhe Xiong ◽  
Wenhuan Guo ◽  
Hongwu Du

Abstract In gene expression analysis, sample differences and experimental operation differences are common, but sometimes, these differences will cause serious errors to the results or even make the results meaningless. Finding suitable internal reference genes efficiently to eliminate errors is a challenge. Aside from the need for high efficiency, there is no package for screening endogenous genes available in Python. Here, we introduce ERgene, a Python library for screening endogenous reference genes. It has extremely high computational efficiency and simple operation steps. The principle is based on the inverse process of the internal reference method, and the robust matrix block operation makes the selection of internal reference genes faster than any other method.

PLoS ONE ◽  
2017 ◽  
Vol 12 (6) ◽  
pp. e0176368 ◽  
Author(s):  
Khadijeh Gholami ◽  
Su Yi Loh ◽  
Naguib Salleh ◽  
Sau Kuen Lam ◽  
See Ziau Hoe

2014 ◽  
Vol 15 (5) ◽  
pp. 8846-8862 ◽  
Author(s):  
Bantong Xue ◽  
Jinlong Guo ◽  
Youxiong Que ◽  
Zhiwei Fu ◽  
Luguang Wu ◽  
...  

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Luciana Midori Takamori ◽  
Alyne Valéria Carrion Pereira ◽  
Gustavo Maia Souza ◽  
Luiz Gonzaga Esteves Vieira ◽  
Alessandra Ferreira Ribas

Placenta ◽  
2013 ◽  
Vol 34 (7) ◽  
pp. 544-547 ◽  
Author(s):  
X. Huang ◽  
M. Baumann ◽  
L. Nikitina ◽  
F. Wenger ◽  
D. Surbek ◽  
...  

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