2005
DOI: 10.1093/bioinformatics/bti525
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BioMart and Bioconductor: a powerful link between biological databases and microarray data analysis

Abstract: biomaRt is a new Bioconductor package that integrates BioMart data resources with data analysis software in Bioconductor. It can annotate a wide range of gene or gene product identifiers (e.g. Entrez-Gene and Affymetrix probe identifiers) with information such as gene symbol, chromosomal coordinates, Gene Ontology and OMIM annotation. Furthermore biomaRt enables retrieval of genomic sequences and single nucleotide polymorphism information, which can be used in data analysis. Fast and up-to-date data retrieval … Show more

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Cited by 1,800 publications
(1,549 citation statements)
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References 7 publications
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“…Some overlapping intervals could also overlap with each other, and therefore we merged them into several intervals that have no adjoining region between nonredundant intervals. The genes involved in these overlaps and their Gene Ontology (GO) annotation were retrieved using the BiomaRt package (Durinck et al, 2005).…”
Section: Methodsmentioning
confidence: 99%
“…Some overlapping intervals could also overlap with each other, and therefore we merged them into several intervals that have no adjoining region between nonredundant intervals. The genes involved in these overlaps and their Gene Ontology (GO) annotation were retrieved using the BiomaRt package (Durinck et al, 2005).…”
Section: Methodsmentioning
confidence: 99%
“…Comparison of the gene expression profiles in control cells with or without PD169316 indicated that the inhibitor by itself had a negligible impact as it resulted in the differential expression of only one gene (SERPINA1 fold change: 1.96, P ¼ 0.008). Selected differential expressed genes were annotated with GO identifiers using the biomaRt package (Durinck et al, 2005), which retrieves data from Ensembl (Birney et al, 2006). These GO terms were mapped to the generic GO slim available from the GO website (http://www.geneontology.org).…”
Section: Analysis Of Microarraysmentioning
confidence: 99%
“…The significance cutoff used was 0.05, after a multiple hypothesis testing correction using the package qvalue (Storey and Tibshirani 2003;Dabney 2012). The bioconductor package goseq (Young et al 2010) was used to determine pathway overrepresentation in overlaps with Seong's data (Seong et al 2011), with the necessary input of "all gene names" coming from the list of genes given by the bioconductor package BiomaRt (Durinck et al 2005;Durinck et al 2009). All pathways marked as significant in this analysis had a non-FDR corrected p value of less than 0.007.…”
Section: Comparison Of Gene Expression Datamentioning
confidence: 99%