While IGV is a powerful tool, it does have some limitations. Handling very large datasets can be computationally intensive and may require substantial memory resources, potentially limiting its use on less powerful machines. Additionally, while IGV provides extensive visualization capabilities, interpreting complex genomic data accurately requires a high level of expertise in genomics and bioinformatics. Furthermore, as with any tool, the quality of the output is highly dependent on the quality of the input data, making accurate data preprocessing a crucial step in any analysis.
