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            "id": "MGYS00000537",
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                "bioproject": "PRJEB10064",
                "accession": "MGYS00000537",
                "is-private": false,
                "last-update": "2016-01-20T14:12:06",
                "secondary-accession": "ERP011248",
                "centre-name": "PUBLIC HEALTH ENGLAND",
                "public-release-date": null,
                "study-abstract": "Availability of fast, high throughput and low cost whole genome sequencing (WGS) holds great promise within public health microbiology, with applications ranging from outbreak detection and tracking transmission events, to understanding the role played by microbial communities in health and disease. Within clinical metagenomics, identifying microorganisms from a complex and host enriched background remains a central computational challenge. In this study we sequenced two metagenomic samples, a known viral mixture of 25 human pathogens and an unknown complex biological mode using benchtop technology, highlighting the current challenges  and opportunities in this field.",
                "study-name": "In this study we describe some of the challenges of clinical metagenomics through benchtop sequencing of two distinct sample types, designed to highlight current application and opportunities in this field.",
                "data-origination": "SUBMITTED"
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