2018
DOI: 10.1186/s12859-018-2308-x
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BART: bioinformatics array research tool

Abstract: BackgroundMicroarray experiments comprise more than half of all series in the Gene Expression Omnibus (GEO). However, downloading and analyzing raw or semi-processed microarray data from GEO is not intuitive and requires manual error-prone analysis and a bioinformatics background. This is due to a lack of standardization in array platform fabrication as well as the lack of a simple interactive tool for clustering, plotting, differential expression testing, and testing for functional enrichment.ResultsWe introd… Show more

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Cited by 36 publications
(27 citation statements)
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“…Further details of the study have been described elsewhere [24]. We analyzed differentially expressed genes between groups receiving 0Gy and 2 Gy of radiation using BART [25] and NCBI's GEO2R. We tested the significance of genes overlapping our results from prostate and whole-blood tissue to those identified in the replication dataset using GeneOverlap…”
Section: Methodsmentioning
confidence: 99%
“…Further details of the study have been described elsewhere [24]. We analyzed differentially expressed genes between groups receiving 0Gy and 2 Gy of radiation using BART [25] and NCBI's GEO2R. We tested the significance of genes overlapping our results from prostate and whole-blood tissue to those identified in the replication dataset using GeneOverlap…”
Section: Methodsmentioning
confidence: 99%
“…Further details of the study have been described elsewhere [24]. We used BART [25] and NCBI's GEO2R to analyze differentially expressed genes between untreated and treated with 2 Gy of radiation groups. .…”
Section: Methodsmentioning
confidence: 99%
“…Further details of the study have been described elsewhere [24]. We used BART [25] and NCBI's GEO2R to analyze differentially expressed genes between untreated and treated with 2 Gy of radiation groups. We tested the signi cance of genes overlapping our results from prostate and whole-blood tissue to those identi ed in the replication dataset using GeneOverlap (https://github.com/shenlab-sinai/geneoverlap) which applies Fisher's exact test testing signi cant genes for whole blood tissue (n=98), prostate tissue (n=62) and replication cohort (n=2973) against genome (n=21196) .…”
Section: Methodsmentioning
confidence: 99%