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...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Feng, Seillier-Moiseiwitsch, Françoise
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