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With next-generation sequencing (NGS) technologies, the life sciences face a deluge of raw data. Classical analysis processes for such data often begin with an assembly step, needing large amounts of computing resources, and potentially removing or modifying parts of the biological information contained in the data. Our approach proposes to focus directly on biological questions, by considering raw unassembled NGS data, through a suite of six command-line tools. Findings: Dedicated todoi:10.1186/s13742-016-0131-8 pmid:27267926 pmcid:PMC4897896 fatcat:2h4hdmtqongejnaky7et5pfafa