Analysis of EBV Transcription Using High-Throughput RNA Sequencing

Area of Science:

• Bioinformatics
• Genomics
• Molecular Biology

Background:

• High-throughput RNA sequencing (RNA-Seq) generates vast amounts of data for transcriptome analysis.
• Interpreting RNA-Seq data requires specialized bioinformatics tools and pipelines.
• Viral transcriptomics, particularly for viruses like Epstein-Barr virus (EBV), presents unique analytical challenges.

Purpose of the Study:

• To provide a detailed protocol for analyzing RNA-Seq data.
• To demonstrate the use of free and open-source software for transcriptome analysis.
• To address specific considerations for EBV and viral RNA-Seq studies.

Main Methods:

• RNA-Seq read alignment to a reference genome.
• Visualization of read coverage and splice junctions.
• Estimation of transcript abundance and differential expression analysis.
• Utilizing free and open-source bioinformatics programs.

Main Results:

• A comprehensive protocol for RNA-Seq data analysis is presented.
• The protocol enables visualization, abundance estimation, and differential expression analysis.
• Specific guidance and resources for EBV transcriptomics are provided.

Conclusions:

• Free and open-source tools are effective for comprehensive RNA-Seq analysis.
• This protocol facilitates the study of viral and cellular transcriptomes.
• The provided resources aid researchers in EBV and viral transcriptomics.