Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

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Technical and biological variance structure in mRNA-Seq data


ABSTRACT: mRNA expression data from next generation sequencing platforms is obtained in the form of counts per gene or exon. Counts are generally assumed to follow a Poisson distribution in which the variance is equal to the mean. However, it is common in observed count data with biological variation for over-dispersion to be present, i.e., for the variance to be greater than the mean. examination of technical and biological variance in mRNA-seq count data

ORGANISM(S): Homo sapiens

SUBMITTER: Brian Bot 

PROVIDER: E-GEOD-29022 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Technical and biological variance structure in mRNA-Seq data: life in the real world.

Oberg Ann L AL   Bot Brian M BM   Grill Diane E DE   Poland Gregory A GA   Therneau Terry M TM  

BMC genomics 20120707


<h4>Background</h4>mRNA expression data from next generation sequencing platforms is obtained in the form of counts per gene or exon. Counts have classically been assumed to follow a Poisson distribution in which the variance is equal to the mean. The Negative Binomial distribution which allows for over-dispersion, i.e., for the variance to be greater than the mean, is commonly used to model count data as well.<h4>Results</h4>In mRNA-Seq data from 25 subjects, we found technical variation to gen  ...[more]

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