1997
DOI: 10.1101/gr.7.10.986
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The Significance of Digital Gene Expression Profiles

Abstract: Genes differentially expressed in different tissues, during development, or during specific pathologies are of foremost interest to both basic and pharmaceutical research. “Transcript profiles” or “digital Northerns” are generated routinely by partially sequencing thousands of randomly selected clones from relevant cDNA libraries. Differentially expressed genes can then be detected from variations in the counts of their cognate sequence tags. Here we present the first systematic study on the influence of rando… Show more

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Cited by 2,600 publications
(2,158 citation statements)
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References 30 publications
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“…RNA‐Seq data were mapped to the T. urticae genome (version 200909) (http://bioinformatics.psb.ugent.be/orcae/overview/Tetur) using the Torrent Mapping Alignment Program v3.4.1 (ThermoFisher Scientific, Grand Island, NY, USA) to obtain Reads Per Kb per Million reads (RPKM), and the differential gene expression analysis to identify differentially expressed genes (DEGs) between two different DGE libraries was conducted using the method described by Audic and Claverie (Audic & Claverie, 1997). The false discovery rate (FDR) method determines the p ‐value threshold for multiple testing by controlling the FDR value.…”
Section: Methodsmentioning
confidence: 99%
“…RNA‐Seq data were mapped to the T. urticae genome (version 200909) (http://bioinformatics.psb.ugent.be/orcae/overview/Tetur) using the Torrent Mapping Alignment Program v3.4.1 (ThermoFisher Scientific, Grand Island, NY, USA) to obtain Reads Per Kb per Million reads (RPKM), and the differential gene expression analysis to identify differentially expressed genes (DEGs) between two different DGE libraries was conducted using the method described by Audic and Claverie (Audic & Claverie, 1997). The false discovery rate (FDR) method determines the p ‐value threshold for multiple testing by controlling the FDR value.…”
Section: Methodsmentioning
confidence: 99%
“…Significant DEGs were defined and identified according to the method of Audic and Claverie (1997). The criteria for the data in this present study were a false discovery rate (FDR) value of ≤0.001 and an absolute log 2 ratio value of ≥1, where the ratio is the ratio of gene expression at a non-zero time point profile relative to the corresponding control.…”
Section: Identification Of Differentially Expressed Genes (Degs) Andmentioning
confidence: 99%
“…DEGs were defined and identified based on digital gene expression profiles as described previously (Audic and Claverie, 1997). As a result, we obtained 9060 unique DEGs after removing redundant DEGs.…”
Section: Selection and Initial Analysis Of Significant Degsmentioning
confidence: 99%
“…We employed the Audic-Claverie test (Audic and Claverie, 1997) for direct comparisons of tag frequencies between libraries. This test was used to identify genes with significantly altered expression levels by estimation of p-value (p in the text) for the comparison.…”
Section: Statistical Filtering Of Expression Datamentioning
confidence: 99%