<b>CpG Analysis of Intergenic Regions in SARS-CoV (2002-2003, NC_004718.3)</b>

This project analyzes the distribution of CpG sites in the intergenic regions of the SARS-CoV (2002-2003, NC_004718.3) genome. The analysis provides insights into the genomic characteristics of this virus, highlighting regions with potential functional significance.<br>Key findings include:- One dominant region exhibits a significantly high CpG count, suggesting a potential functional or structural role.- Most other intergenic regions show low or negligible CpG content, consistent with CpG depletion commonly observed in coronaviruses.- Observed/expected (O/E) ratios reveal both enrichment and depletion patterns, reflecting evolutionary pressures such as host immune evasion and mutational biases.<br>The dataset includes:- A tab-delimited file (`SARS_CoV_2003_cpg_analysis.txt`) containing CpG counts and O/E ratios for each intergenic region.- Visualizations: - Bar chart showing CpG counts across regions. - Line plot illustrating O/E ratios.- Python scripts used for extracting intergenic regions, calculating CpG metrics, and generating plots.<br>This work contributes to understanding the genomic architecture of SARS-CoV (2002-2003) and its evolutionary strategies. The analysis was performed using Biopython, Pandas, and Matplotlib.<br>Published on Figshare: 10.6084/m9.figshare.28705331<br>