Ensembl Genomes Fungi Blast

Ensembl Genomes Fungi Blast performs BLAST-based sequence similarity searches against fungal genomes in the Ensembl Genomes platform to enable DNA and protein sequence comparison and homology detection within annotated fungal assemblies.

Key Features:

• BLAST algorithm: Implements the core BLAST algorithm identifying maximal segment pairs (MSPs) to optimize local similarity scores and support statistical significance estimation.
• Query types and targets: Supports DNA and protein sequence queries against curated fungal genome assemblies and annotations in Ensembl Genomes.
• Local alignments and sensitivity: Produces fast, high-sensitivity local alignments suitable for gene identification, homology searching, motif detection, and multi-region similarity analysis.
• Annotation integration: Integrates with Ensembl annotation infrastructure to map matched sequences to genomic context.
• Performance and scalability: Leverages the speed and scalability of BLAST for efficient exploration of fungal genomic diversity across the Ensembl Genomes database.

Scientific Applications:

• Gene identification: Detects gene-level similarity for annotation transfer and candidate gene discovery in fungal genomes.
• Homology searching: Identifies homologous sequences across curated fungal genome assemblies.
• Motif detection: Detects conserved sequence motifs via local alignment of DNA or protein queries.
• Multi-region similarity analysis: Enables comparative analysis of multiple genomic regions for sequence similarity studies.
• Genomic context mapping: Maps sequence matches to Ensembl annotations to interpret results in genomic context across fungal diversity.

Methodology:

Sequence similarity searches use the core BLAST algorithm to identify maximal segment pairs (MSPs) for optimal local alignments and apply BLAST statistical significance estimation for DNA and protein queries against curated fungal genome assemblies and annotations.