Poster (download) George Sergeevich Krasnov1, Anastasiya Andreevna Kobelyatskaya2, Anastasiya Vladimirovna Snezhkina3, Vladislav Sergeevich Pavlov4, Elena Anatolevna Pudova5, Anna Victorovna Kudryavtseva61EIMB RAS, gskrasnov@mail.ru2EIMB RAS, kaa.chel@mail.ru3EIMB RAS, leftger@rambler.ru4EIMB RAS, vladislav1pavlov@gmail.com5EIMB RAS, pudova_elena@inbox.ru6EIMB RAS, rhizamoeba@mail.ru RNA-Seq is a widespread technique routinely used to reveal differentially expressed (DE) genes, splicing events and affected signaling pathways. Usually, RNA-Seq data analysis needs skills in programming and bioinformatics. We aimed at developing easy-to-use pipeline covering multiple aspects of DE analysis. Here we present RTrans pipeline aimed at evaluating differential gene expression, pathway enrichment, WGCNA co-expression analysis and visualization. It provides rapid analysis of read counts data including MANOVA, paired tests, non-parametric tests. RTrans represents a versatile pipeline facilitating DE analysis based on RNA-Seq and other quantitative data.