rasusa

rasusa randomly subsamples sequencing reads to a user-specified coverage for analyses that require reduced dataset size while preserving representativeness.

Key Features:

• Unbiased subsampling: Produces random subsamples intended to be representative of the input read set.
• Specified coverage: Subsamples reads to achieve a user-defined sequencing coverage level.
• Sequencing-technology compatibility: Operates across different sequencing technologies to support diverse genomic studies.

Scientific Applications:

• Computational resource reduction: Reduces dataset size to accommodate limited computational resources while maintaining representativeness.
• Pilot and preliminary analyses: Provides smaller representative datasets for preliminary experiments and parameter tuning.
• Large-dataset reduction: Lowers data volume for analyses of large sequencing projects without losing significant information content.

Methodology:

Randomly subsamples sequencing reads to reach a user-specified coverage, producing an unbiased representative subset of the input reads.