FinisherSC

FinisherSC improves de novo genome assemblies by integrating long-read sequencing data to resolve repetitive sequences and extend contigs.

Key Features:

• Repeat-Awareness: Recognizes and handles repetitive genomic regions to reduce misassemblies arising from repeats.
• Scalability: Processes large datasets generated by long-read sequencing technologies to accommodate high-volume assembly projects.
• Contig Quality and Length: Produces contigs that can be longer and of higher quality in real-world datasets.
• High Concordance: Maintains high concordance with the original assembly data while refining contigs.

Scientific Applications:

• Genomics: Supports generation of more complete de novo genome assemblies for genomic research.
• Variant detection: Provides improved assemblies that facilitate more reliable detection of genetic variants.
• Gene annotation: Produces longer, higher-quality contigs that aid accurate gene annotation.
• Comparative genomics: Enables more comprehensive comparative analyses across organisms through enhanced assemblies.

Methodology:

Integrates long-read sequencing data into existing de novo assemblies to refine and extend contigs and is optimized for handling repetitive sequences.