BioSeqZip

BioSeqZip collapses redundant reads from high-throughput second-generation sequencing (NGS) datasets into non-redundant, alignment-ready sets to reduce file size and computational burden for downstream analyses.

Key Features:

• Reduction in File Size: By collapsing redundant sequences, BioSeqZip can reduce dataset size—up to 70% in RNA-Seq experiments.
• Efficiency in Alignment: Ensures each unique sequence is mapped only once to accelerate alignment and lower memory and computational demands.
• Memory-Constrained External Sorting Algorithm: Employs a memory-efficient external sorting algorithm optimized for limited-memory environments to handle large volumes of data.
• Quality Score Preservation: Preserves sequence occurrence counts and original quality scores during collapsing to maintain data integrity for downstream analyses.
• Re-expansion Capability: Supports re-expansion of compacted datasets back to their original form.

Scientific Applications:

• RNA-Seq preprocessing: Reduces redundancy and storage requirements for RNA-Seq datasets to facilitate faster alignment.
• NGS alignment pipelines: Produces alignment-ready non-redundant sequences for general NGS-based studies to lower computational load during mapping.
• High-coverage sequencing data management: Handles redundancy inherent in high-coverage sequencing datasets to streamline downstream analyses.

Methodology:

Processes single- or multi-sample sequencing datasets by generating sorted lists of alignment-ready non-redundant sequences using a memory-efficient external sorting algorithm while preserving sequence occurrence counts and quality scores and supporting dataset re-expansion.