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Algorithms for Next-Generation Sequencing Data
High throughput sequencing machines decipher billions of nucleotides from DNA molecules at unprecedented speed. This mass of data is stored into large text files structured as a list of small DNA fragments. They represent random overlap regions over one or several genomes. The overlap fragment generate a lot of redundancy that can be advantageously exploited to compress next generation sequencing (NGS) data. This is the main motivation for developing dedicated compressing techniques for thisdoi:10.1007/978-3-319-59826-0_4 fatcat:pjctkfpul5cqvejdr5mtymfjm4