RNA-Seq Blog Transcriptome Research & Industry News
Current computational methods for estimating transcript abundance from RNA-seq data can lead to hundreds of false-positive results. Researchers from the Dana-Farber Cancer Institute show that these systematic errors stem largely from a failure to model fragment GC content bias. Sample-specific ...
Read More »Modeling of RNA-seq fragment sequence bias reduces systematic errors in transcript abundance estimation
