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ERgene: Python library for screening endogenous reference genes
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....
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7596506/ https://www.ncbi.nlm.nih.gov/pubmed/33122769 http://dx.doi.org/10.1038/s41598-020-75586-5 |
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author | Zeng, Zehua Xiong, Yuzhe Guo, Wenhuan Du, Hongwu |
author_facet | Zeng, Zehua Xiong, Yuzhe Guo, Wenhuan Du, Hongwu |
author_sort | Zeng, Zehua |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7596506 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-75965062020-10-30 ERgene: Python library for screening endogenous reference genes Zeng, Zehua Xiong, Yuzhe Guo, Wenhuan Du, Hongwu Sci Rep Article 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. Nature Publishing Group UK 2020-10-29 /pmc/articles/PMC7596506/ /pubmed/33122769 http://dx.doi.org/10.1038/s41598-020-75586-5 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Zeng, Zehua Xiong, Yuzhe Guo, Wenhuan Du, Hongwu ERgene: Python library for screening endogenous reference genes |
title | ERgene: Python library for screening endogenous reference genes |
title_full | ERgene: Python library for screening endogenous reference genes |
title_fullStr | ERgene: Python library for screening endogenous reference genes |
title_full_unstemmed | ERgene: Python library for screening endogenous reference genes |
title_short | ERgene: Python library for screening endogenous reference genes |
title_sort | ergene: python library for screening endogenous reference genes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7596506/ https://www.ncbi.nlm.nih.gov/pubmed/33122769 http://dx.doi.org/10.1038/s41598-020-75586-5 |
work_keys_str_mv | AT zengzehua ergenepythonlibraryforscreeningendogenousreferencegenes AT xiongyuzhe ergenepythonlibraryforscreeningendogenousreferencegenes AT guowenhuan ergenepythonlibraryforscreeningendogenousreferencegenes AT duhongwu ergenepythonlibraryforscreeningendogenousreferencegenes |