NGS Data Analysis

A service for Next-Generation Sequencing (NGS) data analysis offers a comprehensive solution for processing and interpreting large-scale genomic data generated through NGS technologies. For example, RNA sequencing (RNA-seq) data analysis provides a specialized platform for researchers to analyze and interpret data generated through RNA-seq experiments. This service typically involves functionalities such as quality control, alignment of reads to a reference genome, quantification of gene expression levels, identification of differentially expressed genes, and downstream functional analysis. Users can upload raw RNA-seq data, configure analysis parameters, and receive results through interactive visualizations and downloadable reports. The service may include tools for exploring gene expression patterns, pathway analysis, and integration with external databases for functional annotations. Additionally, these platforms often facilitate the exploration of alternative splicing events, detection of novel transcripts, and other advanced analyses to extract meaningful biological insights from RNA-seq datasets.