15p.zip Page

: 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

: This effectively "hides" the FASTQ data within the BAM file's footprint, potentially halving the storage costs for genomic repositories.

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

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:

: Containing raw sequence reads and quality scores. : Decompression is handled automatically by standard Genozip

: Containing those same reads mapped to a reference genome.

While a standard .zip file uses the (a combination of LZ77 and Huffman coding) to find repeated patterns within a single stream of data, Genozip’s Deep method is domain-specific. It understands the structure of genomic data, allowing it to achieve compression ratios that general-purpose tools cannot match. : A co-compressed file containing both BAM and

: It uses the BAM file's alignment data to "predict" the contents of the FASTQ files. Only the differences (residual information) between the two are stored.