SilVA is an open-source computational tool designed to predict the potential deleterious effects of synonymous (silent) mutations within the human genome. Despite not altering the amino acid sequence, synonymous mutations can impact gene function through various mechanisms. SilVA evaluates these mutations by analyzing multiple features to provide a comprehensive assessment of their potential impact.

Key Features:

• Comprehensive Feature Analysis: SilVA assesses synonymous mutations based on several factors, including:
• CpG Sites: Evaluates the creation or disruption of CpG dinucleotides, which can affect DNA methylation and gene expression.
• Codon Usage: Analyzes changes in codon usage that may influence translation efficiency and accuracy.
• Splice Sites: Identifies potential alterations in canonical splice sites that could affect mRNA splicing.
• Splicing Enhancers and Suppressors: Detects changes in exonic splicing enhancers or silencers, impacting exon recognition.
• mRNA Folding Free Energy: Calculates changes in mRNA secondary structure stability, which can influence mRNA processing and translation.
• Automated Prediction: Integrates the analysis of these features to provide an automated prediction of the potential harmfulness of synonymous mutations, aiding researchers and clinicians in variant interpretation.

Availability: SilVA is free and open-source, accessible to the scientific community for use and further development.

Note: All resources and documentation are provided in English.

By offering a detailed analysis of features influencing gene expression and function, SilVA serves as a valuable tool for the assessment of synonymous mutations, contributing to advancements in genomic research and personalized medicine.