GRS

GRS compresses genome resequencing data and reconstructs individual genome sequences from a reference genome without requiring prior variation maps such as single nucleotide polymorphisms (SNPs), deletions, or insertions, enabling efficient storage and analysis of eukaryotic resequencing datasets.

Key Features:

• De novo compression: Implements de novo compression that does not rely on pre-existing variation information.
• Reference-based reconstruction: Rebuilds individual genome sequences using the available reference genome as a scaffold.
• Independence from variation maps: Operates without requiring reference SNP, deletion, or insertion maps.
• Input type: Processes raw Genome ReSequencing (ReSeq) data from eukaryotic organisms.
• Compression performance: Reported examples include ~159-fold compression for the first Korean personal genome (2986.8 MB → 18.8 MB), rice (361.0 MB → 4.4 MB), and Arabidopsis thaliana (115.1 MB → 6.5 KB).

Scientific Applications:

• Efficient storage and analysis: Enables substantial reduction in storage requirements for resequencing datasets to facilitate downstream analysis.
• Genetic diversity studies: Supports reconstruction of individual genomes without prior variation maps to aid studies of genetic diversity and its biological significance.

Methodology:

Performs de novo compression by processing raw resequencing data and automatically rebuilding individual genome sequences using the reference genome as a scaffold.