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  1. Boost the performance of bioinformatic annotation queries

    The documents to be selected look something like this:

    {
    "_id": {
    "$oid": "6272c580d4400d8cb10d5406"
    },
    "#CHROM": 1,
    "POS": 286747,
    "ID": "rs369556846",
    "REF": "A",
    "ALT": "G",
    "QUAL": ".",
    "FILTER": ".",
    "INFO": [{
    "RS": 369556846,
    "RSPOS": 286747,
    "dbSNPBuildID": 138,
    "SSR": 0,
    "SAO": 0,
    "VP": "0x050100000005150026000100",
    "WGT": 1,
    "VC": "SNV",
    "CAF": [{
    "$numberDecimal": "0.9381"
    }, {
    "$numberDecimal": "0.0619"
    }],
    "COMMON": 1,
    "TOPMED": [{
    "$numberDecimal": "0.88411856523955147"
    }, {
    "$numberDecimal": "0.11588143476044852"
    }]
    },
    ["SLO", "ASP", "VLD", "G5", "KGPhase3"]
    ]
    }

    For a basic annotation (https://en.wikipedia.org/wiki/SNP_annotation) scenario, we need such query:

    {'ID': {'$in': ['rs369556846', 'rs2185539', 'rs2519062', 'rs149363311', 'rs55745762', <...>]}}
    , where <...> means hundreds/thousands…

    1 vote

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  2. There is a specific collection that I need more performance than others. Is there a way to assign more ram/memory to a specific collection?

    There is a specific collection that I need more performance than others. Is there a way to assign more ram/memory to a specific collection?

    1 vote

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