Development of a scoring function for finding differential expression - application to Lolium Perenne

Abstract

RNA-sequencing for detecting changes between expression patterns has emerged as a frequent tool in life sciences stud- ies. However, it is an under-development tool which still lacks a standard procedure. This way, many software pack- ages and approaches could be used when designing an ex- periment. Here we develop and present an approach based on a scoring function. It allows using multiple packages and relies its e ciency on validated data. Thus, the function is adjusted using qPCR veri ed data. Then it is tested on experimental data obtained from a Lolium Perenne drought stress tolerance study yielding positive results with several potential uses in further studies.