CorrelaGenes: a new tool for the interpretation of the human transcriptome (Abstract/Poster in atti di convegno)

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  • CorrelaGenes: a new tool for the interpretation of the human transcriptome (Abstract/Poster in atti di convegno) (literal)
Anno
  • 2012-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.14806/ej.18.B.566 (literal)
Alternative label
  • Paolo Cremaschi; Sergio Rovida; Lucia Sacchi; Antonella Lisa; Alessandra Montecucco; Giuseppe Biamonti; Silvia Bione; Gianni Sacchi (2012)
    CorrelaGenes: a new tool for the interpretation of the human transcriptome
    in NETTAB 2012, Como, Italia, 14-16 novembre 2012
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Paolo Cremaschi; Sergio Rovida; Lucia Sacchi; Antonella Lisa; Alessandra Montecucco; Giuseppe Biamonti; Silvia Bione; Gianni Sacchi (literal)
Pagina inizio
  • 103 (literal)
Pagina fine
  • 105 (literal)
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  • http://journal.embnet.org/index.php/embnetjournal/article/view/566 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • NETTAB 2012: Workshop on \"Integrated Bio-Search\", 14-16 November 2012, Como, Italy (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 18 (literal)
Rivista
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  • B (literal)
Note
  • Poster (literal)
  • Google Scholar (literal)
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  • Institute of Molecular Genetics, National Research Council, Pavia, Italy; Institute of Applied Mathematics and Information Technology \"Enrico Magenes\", National Research Council, Pavia, Italy; Dipartimento di Ingegneria Industriale e dell'Informazione, University of Pavia, Pavia, Italy (literal)
Titolo
  • CorrelaGenes: a new tool for the interpretation of the human transcriptome (literal)
Abstract
  • The comprehension of the molecular mechanisms involved in the physiology of human cells and in the pathogenesis of complex disorders, requires the development of new bioinformatic and biostatistic approaches able to integrate and interpret the huge amount of data derived from different kind of \"omics\" technologies. Nowadays, the interpretation of the transcriptional state of the cell and its alterations in particular experimental or pathological conditions is of particular interest. To this aim several technologies have been developed to identify and quantify the entire set of cellular transcripts, thus resulting in the availability of expression profiles of many different cell types in many different conditions. With the aim of contributing to the elucidation of transcriptional dynamics in the cell, we developed CorrelaGenes, a new bioinformatic tool that exploits the expression data available in the Gene Expression Omnibus (GEO http://www.ncbi.nlm.nih.gov/geo/) database. The main goal of this tool is to help identifying sets of genes whose expression appeared simultaneously altered in different experiments, thus suggesting co-regulation or coordinated action in the same biological process. (literal)
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