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Research PaperResearchia:202603.17021[Biotechnology > Biology]

Hecate: A Modular Genomic Compressor

Kamila Szewczyk

Abstract

We present Hecate, a modular lossless genomic compression framework. It is designed around uncommon but practical source-coding choices. Unlike many single-method compressors, Hecate treats compression as a conditional coding problem over coupled FASTA/FASTQ streams (control, headers, nucleotides, case, quality, extras). It uses per-stream codecs under a shared indexed block container. Codecs include alphabet-aware packing with an explicit side channel for out-of-alphabet residues, an auxiliary-index Burrows-Wheeler pipeline with custom arithmetic coding, and a blockwise Markov mixture coder with explicit model-competition signaling. This architecture yields high throughput, exact random-access slicing, and referential mode through streamwise binary differencing. In a comprehensive benchmark suite, Hecate provides the best compression vs. speed trade-offs against state-of-the-art established tools (MFCompress, NAF, bzip3, AGC), with notably stronger behaviour on large genomes and high-similarity referential settings. For the same compression ratio, Hecate is 2 to 10 times faster. When given the same time budget as other algorithms, Hecate achieves up to 5% to 10% better compression.


Source: arXiv:2603.15390v1 - http://arxiv.org/abs/2603.15390v1 PDF: https://arxiv.org/pdf/2603.15390v1 Original Link: http://arxiv.org/abs/2603.15390v1

Submission:3/17/2026
Comments:0 comments
Subjects:Biology; Biotechnology
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arXiv: This paper is hosted on arXiv, an open-access repository
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