yacrd

yacrd identifies and removes chimeric reads and performs read scrubbing to improve the quality of genome assemblies generated from long uncorrected reads.

Key Features:

• Chimera Removal: Identifies and removes chimeric reads that can introduce erroneous overlaps and degrade assembly quality.
• Read Scrubbing: Filters spurious overlaps to refine the dataset used for downstream genome assembly from long reads.
• Efficiency: Operates one hundred times faster than the best available alternative tools.
• Storage Optimization: Reduces storage requirements by filtering unnecessary overlaps, mitigating overlap storage that can otherwise reach terabytes.

Scientific Applications:

• Genome Assembly: Improves input read sets for complex genome assembly projects by removing chimeras and spurious overlaps.
• Structural Variant Detection: Enhances the accuracy of structural variant detection by reducing chimeric artifacts in long-read datasets.
• Metagenomics: Refines long-read datasets used in metagenomics studies by removing chimeric reads and spurious overlaps.

Methodology:

Uses algorithms to detect and remove chimeric reads and to filter spurious overlaps.