[HTML][HTML] Improving RNA-Seq expression estimates by correcting for fragment bias
Genome biology, 2011•Springer
The biochemistry of RNA-Seq library preparation results in cDNA fragments that are not
uniformly distributed within the transcripts they represent. This non-uniformity must be
accounted for when estimating expression levels, and we show how to perform the needed
corrections using a likelihood based approach. We find improvements in expression
estimates as measured by correlation with independently performed qRT-PCR and show
that correction of bias leads to improved replicability of results across libraries and …
uniformly distributed within the transcripts they represent. This non-uniformity must be
accounted for when estimating expression levels, and we show how to perform the needed
corrections using a likelihood based approach. We find improvements in expression
estimates as measured by correlation with independently performed qRT-PCR and show
that correction of bias leads to improved replicability of results across libraries and …
Abstract
The biochemistry of RNA-Seq library preparation results in cDNA fragments that are not uniformly distributed within the transcripts they represent. This non-uniformity must be accounted for when estimating expression levels, and we show how to perform the needed corrections using a likelihood based approach. We find improvements in expression estimates as measured by correlation with independently performed qRT-PCR and show that correction of bias leads to improved replicability of results across libraries and sequencing technologies.
Springer