RNAseqin

RNAseqin is a bioinformatics tool designed for the analysis of RNA sequencing data. It is particularly useful for identifying differentially expressed genes (DEGs) between different experimental conditions. RNAseqin provides a comprehensive suite of functions for preprocessing, normalization, and statistical analysis of RNA-seq data. The tool supports various normalization methods, including TMM (Trimmed Mean of M-values) and DESeq2, to ensure accurate comparison of gene expression levels across samples. RNAseqin also includes features for quality control, such as the generation of PCA (Principal Component Analysis) plots and MA (Mean-Average) plots, which help in assessing the data quality and identifying potential outliers. Additionally, RNAseqin offers visualization tools for visualizing gene expression patterns and results of differential expression analysis. The tool is implemented in R and is available as an open-source package, making it accessible to researchers with varying levels of bioinformatics expertise. RNAseqin is widely used in transcriptomics research for studying gene expression changes in response to different treatments, conditions, or genetic modifications.