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: Instead of compressing FASTQ and BAM files as independent silos, Deep exploits the fact that the BAM file is essentially a reorganized version of the FASTQ data.

The primary bottleneck in modern bioinformatics is the massive storage requirement for Next-Generation Sequencing (NGS) data. Standard workflows typically involve two main file types:

: A co-compressed file containing both BAM and FASTQ data is typically only slightly larger than the BAM file alone . 15p.zip

: Decompression is handled automatically by standard Genozip commands like genounzip (to restore the full set) or genocat (to extract a specific file). Comparison: Deep vs. Standard ZIP

Because BAM files originate from FASTQ files, they contain nearly identical sequence information, creating a massive that traditional compression (like GZIP or BGZF) treats as separate, redundant data. The "Deep" Compression Method : Instead of compressing FASTQ and BAM files

: Containing raw sequence reads and quality scores.

: Despite the aggressive reduction, the process is bit-for-bit lossless. Using the Genozip platform , users can reconstruct the original FASTQ and BAM files exactly as they were. Performance and Impact : Decompression is handled automatically by standard Genozip

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