RAS: an end to end suite for single-cell and standard RNA-Seq data analysis

As RNA sequencing (RNA-Seq) becomes more affordable to process, the number of sequencing data has increased at a rapid rate. A major challenge in RNA-Seq experiments is the analysis of large amount of data generated by next-generation sequencing. RNA-Seq data analysis usually requires advanced Linux/Unix experience for software installation and tedious commands. This required skill set hinders scientists who are interested in analyzing RNA-Seq data but do not have Linux/Unix experience. Here, we describe an end to end pipeline for RNA-Seq Data Analysis Suite (RAS), which streamlines and speeds up analysis time for both standard and single-cell and standard RNA-Seq data. In addition, RAS is a standalone web application and contains an interface where Linux/Unix skills are not required for the data analysis. RAS creates a web server, where the user can interact with the pipeline on a browser. In addition, Since since RAS utilizes distributed computing, it uses computational resources efficiently. RAS The pipeline was validated on single-cell RNA-Seq datasets publicly available at the Gene Expression Omnibus (GEO) from the NCBI.M.S.Includes bibliographical referencesby Nikhil Kuma