Cargando…
RegStatGel: proteomic software for identifying differentially expressed proteins based on 2D gel images
Image analysis of two-dimensional gel electrophoresis is a key step in proteomic workflow for identifying proteins that change under different experimental conditions. Since there are usually large amount of proteins and variations shown in the gel images, the use of software for analysis of 2D gel...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Biomedical Informatics
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3163918/ https://www.ncbi.nlm.nih.gov/pubmed/21904427 |
_version_ | 1782210994450202624 |
---|---|
author | Li, Feng Seillier-Moiseiwitsch, Françoise |
author_facet | Li, Feng Seillier-Moiseiwitsch, Françoise |
author_sort | Li, Feng |
collection | PubMed |
description | Image analysis of two-dimensional gel electrophoresis is a key step in proteomic workflow for identifying proteins that change under different experimental conditions. Since there are usually large amount of proteins and variations shown in the gel images, the use of software for analysis of 2D gel images is inevitable. We developed open-source software with graphical user interface for differential analysis of 2D gel images. The user-friendly software, RegStatGel, contains fully automated as well as interactive procedures. It was developed and has been tested under Matlab 7.01. AVAILABILITY: The database is available for free at http://www.mediafire.com/FengLi/2DGelsoftware |
format | Online Article Text |
id | pubmed-3163918 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Biomedical Informatics |
record_format | MEDLINE/PubMed |
spelling | pubmed-31639182011-09-08 RegStatGel: proteomic software for identifying differentially expressed proteins based on 2D gel images Li, Feng Seillier-Moiseiwitsch, Françoise Bioinformation Software Image analysis of two-dimensional gel electrophoresis is a key step in proteomic workflow for identifying proteins that change under different experimental conditions. Since there are usually large amount of proteins and variations shown in the gel images, the use of software for analysis of 2D gel images is inevitable. We developed open-source software with graphical user interface for differential analysis of 2D gel images. The user-friendly software, RegStatGel, contains fully automated as well as interactive procedures. It was developed and has been tested under Matlab 7.01. AVAILABILITY: The database is available for free at http://www.mediafire.com/FengLi/2DGelsoftware Biomedical Informatics 2011-08-02 /pmc/articles/PMC3163918/ /pubmed/21904427 Text en © 2011 Biomedical Informatics This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited. |
spellingShingle | Software Li, Feng Seillier-Moiseiwitsch, Françoise RegStatGel: proteomic software for identifying differentially expressed proteins based on 2D gel images |
title | RegStatGel: proteomic software for identifying differentially expressed proteins based on 2D gel images |
title_full | RegStatGel: proteomic software for identifying differentially expressed proteins based on 2D gel images |
title_fullStr | RegStatGel: proteomic software for identifying differentially expressed proteins based on 2D gel images |
title_full_unstemmed | RegStatGel: proteomic software for identifying differentially expressed proteins based on 2D gel images |
title_short | RegStatGel: proteomic software for identifying differentially expressed proteins based on 2D gel images |
title_sort | regstatgel: proteomic software for identifying differentially expressed proteins based on 2d gel images |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3163918/ https://www.ncbi.nlm.nih.gov/pubmed/21904427 |
work_keys_str_mv | AT lifeng regstatgelproteomicsoftwareforidentifyingdifferentiallyexpressedproteinsbasedon2dgelimages AT seilliermoiseiwitschfrancoise regstatgelproteomicsoftwareforidentifyingdifferentiallyexpressedproteinsbasedon2dgelimages |