Guide for library design and bias correction for large-scale transcriptome studies using highly multiplexed RNAseq methods.

The R source code for the library bias correction named NBGLM-LBC is available at https://shka.github.io/NBGLM-LBC and https://shka.bitbucket.io/NBGLM-LBC . This method is applicable to correct the library biases in various studies that use highly multiplexed sequencing-based profiling methods with a consistent sample layout with samples to be compared (e.g., "cases" and "controls") equally distributed in each library.