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MicroCore: Mapping Genome Expression to Cell Pathways and Networks

The MicroCore toolkit is a suite of analysis programs for microarray and proteomics data that is open source and programmed exclusively in Java. MicroCore provides a flexible and extensible environment for the interpretation of functional genomics data through visualization. The first version of the...

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Detalles Bibliográficos
Autores principales: Patel, Manish, Nagl, Sylvia
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2004
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2447329/
https://www.ncbi.nlm.nih.gov/pubmed/18629046
http://dx.doi.org/10.1002/cfg.362
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author Patel, Manish
Nagl, Sylvia
author_facet Patel, Manish
Nagl, Sylvia
author_sort Patel, Manish
collection PubMed
description The MicroCore toolkit is a suite of analysis programs for microarray and proteomics data that is open source and programmed exclusively in Java. MicroCore provides a flexible and extensible environment for the interpretation of functional genomics data through visualization. The first version of the application (downloadable from the MicroCore website: http://www.ucl.ac.uk/oncology/MicroCore/microcore.htm), implements two programs—PIMs (protein interaction maps) and MicroExpress—and is soon to be followed by an extended version which will also feature a fuzzy k-means clustering application and a Java-based R plug-in for microarray analysis. PIMs and MicroExpress provide a simple yet powerful way of graphically relating large quantities of expression data from multiple experiments to cellular pathways and biological processes in a statistically meaningful way.
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spelling pubmed-24473292008-07-14 MicroCore: Mapping Genome Expression to Cell Pathways and Networks Patel, Manish Nagl, Sylvia Comp Funct Genomics Research Article The MicroCore toolkit is a suite of analysis programs for microarray and proteomics data that is open source and programmed exclusively in Java. MicroCore provides a flexible and extensible environment for the interpretation of functional genomics data through visualization. The first version of the application (downloadable from the MicroCore website: http://www.ucl.ac.uk/oncology/MicroCore/microcore.htm), implements two programs—PIMs (protein interaction maps) and MicroExpress—and is soon to be followed by an extended version which will also feature a fuzzy k-means clustering application and a Java-based R plug-in for microarray analysis. PIMs and MicroExpress provide a simple yet powerful way of graphically relating large quantities of expression data from multiple experiments to cellular pathways and biological processes in a statistically meaningful way. Hindawi Publishing Corporation 2004-02 /pmc/articles/PMC2447329/ /pubmed/18629046 http://dx.doi.org/10.1002/cfg.362 Text en Copyright © 2004 Hindawi Publishing Corporation. http://creativecommons.org/licenses/by/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Patel, Manish
Nagl, Sylvia
MicroCore: Mapping Genome Expression to Cell Pathways and Networks
title MicroCore: Mapping Genome Expression to Cell Pathways and Networks
title_full MicroCore: Mapping Genome Expression to Cell Pathways and Networks
title_fullStr MicroCore: Mapping Genome Expression to Cell Pathways and Networks
title_full_unstemmed MicroCore: Mapping Genome Expression to Cell Pathways and Networks
title_short MicroCore: Mapping Genome Expression to Cell Pathways and Networks
title_sort microcore: mapping genome expression to cell pathways and networks
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2447329/
https://www.ncbi.nlm.nih.gov/pubmed/18629046
http://dx.doi.org/10.1002/cfg.362
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