Lossless and reference-free compression of FASTQ/A files using GeneSqueeze

Lossless and reference-free compression of FASTQ/A files using GeneSqueeze

Abstract As sequencing becomes more accessible, there is an acute need for novel compression methods to efficiently store sequencing files. Omics analytics can leverage sequencing technologies to enhance biomedical research and individualize patient care, but sequencing files demand immense storage...

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Bibliographic Details
Main Authors: Foad Nazari, Sneh Patel, Melissa LaRocca, Alina Sansevich, Ryan Czarny, Giana Schena, Emma K. Murray
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Genomic data compression
FASTQ
FASTA
Lossless compression
k-mer sequence
DNA
Online Access:https://doi.org/10.1038/s41598-024-79258-6
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