Advanced Genomic Data Mining

  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 shor...

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Published inPLoS computational biology Vol. 4; no. 9; p. e1000121
Main Authors Fernández-Suárez, Xosé M., Birney, Ewan
Format Journal Article
LanguageEnglish
Published United States Public Library of Science 01.09.2008
Public Library of Science (PLoS)
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Abstract   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.
AbstractList   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.
Audience Academic
Author Birney, Ewan
Fernández-Suárez, Xosé M.
AuthorAffiliation Whitehead Institute, United States of America
European Bioinformatics Institute, Ensembl Group, Wellcome Trust Genome Campus, Hinxton, Cambridge, United Kingdom
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Copyright COPYRIGHT 2008 Public Library of Science
Fernández-Suárez, Birney. 2008
2008 Fernández-Suárez, Birney. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Fernández-Suárez XM, Birney E (2008) Advanced Genomic Data Mining. PLoS Comput Biol 4(9): e1000121. doi:10.1371/journal.pcbi.1000121
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Databases, Genetic
Software
Internet
Databases, Factual
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SubjectTerms Bioinformatics
Carbohydrates
Computational biology
Computational Biology - methods
Computational Biology/Genomics
Data Interpretation, Statistical
Data mining
Database management systems
Databases, Factual - statistics & numerical data
Databases, Genetic - statistics & numerical data
Education
Genomes
Genomics - statistics & numerical data
Internet
Methods
Public software
Software
User-Computer Interface
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