Bambino

Bambino detects genetic variants and visualizes sequence alignments in SAM/BAM-formatted next-generation sequencing (NGS) data to support genotyping, somatic mutation identification, allele frequency analysis, and prediction of SNP effects on protein-coding sequences.

Key Features:

• Variant Detection: Leverages SAM-specific annotations to identify genetic variants, perform genotyping, and pinpoint somatic mutations.
• Alignment Visualization: Displays reads aligned to either a provided or automatically generated reference sequence for detailed examination of read mappings.
• Data Pooling: Integrates and pools data from multiple source files to enable analysis across large datasets.
• UCSC Genome Annotation Integration: Retrieves genome annotation features from the UCSC Genome Annotation Database to contextualize variants within annotated genomic regions.
• Non-Reference Allele Frequency Analysis: Generates histograms depicting non-reference allele frequencies to assess variant prevalence and distribution.
• Protein-Coding Change Prediction: Predicts the impact of single nucleotide polymorphisms (SNPs) on protein-coding sequences to evaluate potential functional consequences.

Scientific Applications:

• Genotyping: Accurate identification and genotyping of genetic variants across samples using SAM/BAM data.
• Somatic Mutation Analysis: Detection and characterization of somatic mutations in cancer genomes or other somatic tissues.
• Functional Genomics: Assessment of SNP impacts on protein-coding sequences to inform studies of gene function and molecular mechanisms.
• Population Genetics: Analysis of allele frequency distributions across samples for evolutionary and population-level studies.

Methodology:

Processes SAM/BAM files while utilizing SAM-specific annotations; pools data from multiple source files; retrieves UCSC Genome Annotation Database features; displays reads against provided or automatically generated reference sequences; generates histograms of non-reference allele frequencies; and predicts SNP effects on protein-coding sequences.