ProCAT: a data analysis approach for protein microarrays

Protein microarrays provide a versatile method for the analysis of many protein biochemical activities. Existing DNA microarray analytical methods do not translate to protein microarrays due to differences between the technologies. Here we report a new approach, ProCAT, which corrects for background...

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Detalles Bibliográficos
Autores principales: Zhu, Xiaowei, Gerstein, Mark, Snyder, Michael
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1794587/
https://www.ncbi.nlm.nih.gov/pubmed/17109749
http://dx.doi.org/10.1186/gb-2006-7-11-r110
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author Zhu, Xiaowei
Gerstein, Mark
Snyder, Michael
author_facet Zhu, Xiaowei
Gerstein, Mark
Snyder, Michael
author_sort Zhu, Xiaowei
collection PubMed
description Protein microarrays provide a versatile method for the analysis of many protein biochemical activities. Existing DNA microarray analytical methods do not translate to protein microarrays due to differences between the technologies. Here we report a new approach, ProCAT, which corrects for background bias and spatial artifacts, identifies significant signals, filters nonspecific spots, and normalizes the resulting signal to protein abundance. ProCAT provides a powerful and flexible new approach for analyzing many types of protein microarrays.
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spelling pubmed-17945872007-02-08 ProCAT: a data analysis approach for protein microarrays Zhu, Xiaowei Gerstein, Mark Snyder, Michael Genome Biol Method Protein microarrays provide a versatile method for the analysis of many protein biochemical activities. Existing DNA microarray analytical methods do not translate to protein microarrays due to differences between the technologies. Here we report a new approach, ProCAT, which corrects for background bias and spatial artifacts, identifies significant signals, filters nonspecific spots, and normalizes the resulting signal to protein abundance. ProCAT provides a powerful and flexible new approach for analyzing many types of protein microarrays. BioMed Central 2006 2006-11-16 /pmc/articles/PMC1794587/ /pubmed/17109749 http://dx.doi.org/10.1186/gb-2006-7-11-r110 Text en Copyright © 2006 Zhu et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Method
Zhu, Xiaowei
Gerstein, Mark
Snyder, Michael
ProCAT: a data analysis approach for protein microarrays
title ProCAT: a data analysis approach for protein microarrays
title_full ProCAT: a data analysis approach for protein microarrays
title_fullStr ProCAT: a data analysis approach for protein microarrays
title_full_unstemmed ProCAT: a data analysis approach for protein microarrays
title_short ProCAT: a data analysis approach for protein microarrays
title_sort procat: a data analysis approach for protein microarrays
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1794587/
https://www.ncbi.nlm.nih.gov/pubmed/17109749
http://dx.doi.org/10.1186/gb-2006-7-11-r110
work_keys_str_mv AT zhuxiaowei procatadataanalysisapproachforproteinmicroarrays
AT gersteinmark procatadataanalysisapproachforproteinmicroarrays
AT snydermichael procatadataanalysisapproachforproteinmicroarrays

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