KIC

KIC compresses FASTQ-formatted next-generation sequencing (NGS) data using an integer-mapped k-mer indexing method to reduce storage and transmission requirements.

Key Features:

• Integer-mapped k-mer indexing: Maps sequence reads into an integer space based on k-mer composition to enable compact representation of FASTQ data.
• High compression ratio: Achieves compression ratios that outperform major generic compressors and match the efficiency of recent dedicated FASTQ compressors, applicable to RNA-seq datasets.
• Lossless compression: Preserves original sequence and quality information so that no data is lost during compression and decompression.
• Evaluated on diverse datasets: Demonstrated reliability and performance on multiple large RNA-seq datasets from human and plant sources and addresses datasets from non-model organisms.
• FASTQ format support: Operates on FASTQ files produced by next-generation sequencing technologies.

Scientific Applications:

• RNA-seq data management: Reduces storage and transmission costs for RNA-seq FASTQ datasets used in functional and evolutionary studies.
• Data sharing and archival: Enables more efficient sharing and long-term storage of large NGS FASTQ datasets, including those from non-model organisms.

Methodology:

Uses an integer-mapped k-mer indexing method that maps reads into an integer space based on k-mer composition to compress FASTQ files while maintaining data integrity (lossless compression).