PCOPGene-Net : holistic characterisation of cellular states from microarray data based on continuous and non-continuous analysis of gene-expression relationships
Huerta Casado, Mario (Universitat Autònoma de Barcelona. Institut de Biotecnologia i de Biomedicina "Vicent Villar Palasí")
Cedano Rodríguez, Juan Antonio (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular)
Peña, Dario (Universitat Autònoma de Barcelona. Institut de Biotecnologia i de Biomedicina "Vicent Villar Palasí")
Rodriguez, Antonio (Universitat Autònoma de Barcelona. Institut de Biotecnologia i de Biomedicina "Vicent Villar Palasí")
Querol Murillo, Enrique (Universitat Autònoma de Barcelona. Institut de Biotecnologia i de Biomedicina "Vicent Villar Palasí")

Date:	2009
Abstract:	Microarray technology is so expensive and powerful that it is essential to extract maximum value from microarray data, specially from large-sample-series microarrays. Our web tools attempt to respond to these researchers' needs by facilitating the possibility to test and formulate from a hypothesis to entire models under a holistic point of view. PCOPGene-Net is a web application for facilitating the study of the relationships among gene expressions under microarray conditions, to classify these conditions and to study their effect on expression relationships. Furthermore, the system guides the researcher in the navigation through the microarray data by providing the most suitable genes and information for the researcher's interests at each moment. We achieve all of these by means of the zoom-out operation, the zoom-in operation, the non-continuous analysis and crossing the PCOPGene results with external data-servers. PCOPGene-Net helps to identify cellular states and the genes involved in these. All of that is accomplished in a flexible way, guided by the researcher's interests and taking advantage of the ability of our system to relate gene expressions, even when these relationships are non-continuous and cannot be found using linear or non-linear analytical methods. Currently, our tools are used for tumour-progression study from a holistic point of view.
Grants:	Ministerio de Ciencia y Tecnología BFU2004-06377-C02-01
Note:	This research was supported by the Centre de Referència de R+D de Biotecnologia de la Generalitat de Catalunya. The English of this manuscript has been read and corrected by Mr. Chuck Simmons, a native, English-speaking Instructor of English of this University.
Rights:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Language:	Anglès
Document:	Article ; recerca ; Versió publicada
Published in:	BMC bioinformatics, Vol. 10 (2009) , art. 138, ISSN 1471-2105

DOI: 10.1186/1471-2105-10-138
PMID: 19426548

8 p, 741.7 KB

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Research literature > UAB research groups literature > Research Centres and Groups (research output) > Health sciences and biosciences > Institut de Biotecnologia i de Biomedicina (IBB)
Articles > Research articles
Articles > Published articles