Sentence examples for coverage of gene expression from inspiring English sources

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Oudes et al. [ 22] therefore suggested that using a combination of transcription profiling technologies would provide more complete coverage of gene expression measurements.

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MPSS expression studies of different human cell lines and normal tissues have already shown that this technology represents the most comprehensive sequencing methodology available at present, in terms of gene coverage and quantitative assessment of gene expression [ 22, 39].

The availability and wide coverage of experimental conditions of gene expression datasets might alleviate issues arising from incomplete data, as current technologies allow for the quantification of an entire transcriptome.

Previous MNase-seq studies in different human cell lines have shown that there is a correlation between the nucleosome free region, +1 peak coverage and the level of gene expression [ 28].

To approximate levels of gene expression, coverage of each gene was divided by its sequence length and the total RNAseq data of the maternal library (74 MB).

To approximate levels of gene expression, coverage of each gene was divided by its sequence length and the total RNAseq data of the 0-2 hr time point (3.4 GB, SRP001696).

The technology has been shown to provide comprehensive coverage and a sensitive measure of gene expression [ 51, 52].

Sequencing saturation distribution (see Figure S1 in Supplementary Material available online at http://dx.doi.org/10.1155/2014/291067) and genes coverage statistic analysis justified a deep sequencing coverage sufficient for the quantitative analysis of gene expression profiles.

DGE technology generates such extensive sequencing depth-of-coverage that single copy resolution of gene expression quantification should be possible.

Short read-based sequencing approaches provide ample read coverage and generally give better predictions of gene expression [ 56, 57].

One of the primary use cases for EFO was to annotate ArrayExpress data (i.e. providing ontological coverage) and to ask meaningful questions of gene expression data.

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