ENANO

ENANO compresses nanopore sequencing FASTQ files using a lossless algorithm optimized for quality-score compression to reduce file size while preserving all original sequence and quality information.

Key Features:

• Lossless compression: Performs lossless compression of FASTQ files preserving sequences and quality scores.
• Quality-score optimization: Specifically optimizes the compression of quality scores, which are a dominant component of nanopore FASTQ size.
• Targeted data type: Tailored for nanopore sequencing FASTQ files and long-read datasets.
• Operational modes: Provides two modes—Maximum Compression and Fast (default)—to trade off compression ratio and processing speed.
• Performance benchmarks: Achieved average compression gains of >24.7% over pigz and 6.3% over SPRING across tested nanopore datasets.
• Encoding and decoding speed: Encoding is 2.9 times faster and decoding is 1.7 times faster compared to SPRING in reported comparisons.
• Memory footprint: Demonstrates a low memory footprint of up to 0.2 GB during operation.

Scientific Applications:

• Data storage and archiving: Reduces storage requirements for large nanopore sequencing FASTQ datasets.
• Data transmission: Lowers bandwidth needs for transmitting nanopore sequencing data.
• Large-scale genomic data management: Facilitates processing and management of high-volume long-read sequencing projects.
• Comparative benchmarking: Serves as a reference compressor in performance comparisons with pigz and SPRING for nanopore data.

Methodology:

Implements a lossless FASTQ compression algorithm that optimizes quality-score representation, provides two modes (Maximum Compression and Fast), and performs encoding and decoding with reported speed and memory metrics.