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  MICROARRAY MEETING 2002: NEW DEVELOPMENTS IN MUTATION DETECTION AND GENE EXPRESSION
Segrate, MI (Italy), April 12, 2002
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Minerva Biotecnologica 2002 December;14(3-4):291-304

Copyright © 2003 EDIZIONI MINERVA MEDICA

language: English

Making sense of whole genome expression data. Microarray databases and tools for integrating whole-genome expression results into cellular networks

Cavalieri D. 1, De Filippo C. 2, Grosu P. 1, Biggeri A. 3

1 Bauer Center for Genomic Research, Harvard University, Cambridge MA (USA); 2 Department of Pharmacology, University of Florence, Florence, Italy; 3 Department of Statistics, University of Florence, Florence, Italy


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Micro­ar­rays are gen­er­at­ing a mas­sive ­amount of ­data describ­ing ­cell func­tion; clas­si­fy­ing ­these ­data and inte­grat­ing the infor­ma­tion pro­duced ­with pre­vi­ous­ly accu­mu­lat­ed bio­log­i­cal infor­ma­tion. There­fore the ­main ­efforts to ­make ­sense of micro­ar­ray ­data are direct­ed to the con­struc­tion of data­bas­es of micro­ar­ray experi­ments, in ­order to inte­grate the infor­ma­tion on the expres­sion of a ­group of ­genes ­with the avail­able bio­logi­cal infor­ma­tion. The aim of ­this ­review is to ana­lyse crit­i­cal­ly the ­most impor­tant ­issues in build­ing data­bas­es of micro­ar­ray experi­ments and to dis­cuss the poten­tials of a path­way-­based ­approach to the anal­y­sis of micro­ar­ray ­data.

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