Advanced Genomic Data Mining: e1000121

Data mining is vital to bioinformatics as it allows users to go beyond simple browsing of genome browsers, such as Ensembl [1],[2] or the UCSC Genome Browser [3], to address questions; for example, the biological meaning of the results obtained with a microarray platform, or how to identify a short...

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Bibliographic Details
Published in:PLoS computational biology 2008-09, Vol.4 (9)
Main Authors: Fernández-Suárez, Xosé M, Birney, Ewan
Format: Article
Language:English
Subjects:
Bioinformatics
Carbohydrates
Data mining
Genomes
Online Access:Get full text
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Summary:Data mining is vital to bioinformatics as it allows users to go beyond simple browsing of genome browsers, such as Ensembl [1],[2] or the UCSC Genome Browser [3], to address questions; for example, the biological meaning of the results obtained with a microarray platform, or how to identify a short motif upstream of a gene, amongst others. Conclusions We have seen how to go beyond simple browsing of data with data mining tools leveraging the BioMart system from different platforms, e.g., BioConductor (biomaRt), to find the association between microarray probe and Ensembl gene sets.
ISSN:1553-734X
1553-7358
DOI:10.1371/journal.pcbi.1000121