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, 21:13, 24 October 2010
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| = Performance = | | = Performance = |
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| + | == Pre-phasing == |
| + | For the pre-phasing step the cost for increasing the number of states is quadratically and the cost for rounds is linear. |
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| + | {| class="wikitable" border="1" cellpadding="2" |
| + | |- bgcolor="lightgray" |
| + | ! States |
| + | ! Cost |
| + | |- |
| + | | 100 states |
| + | | 3min |
| + | | 200 states |
| + | | 12min = (3min * 2^2) |
| + | | 400 states |
| + | | 56min = (3min * 4^2) |
| + | | 500 states |
| + | | 75min = (3min * 5^2) |
| + | |} |
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| + | |
| + | rounds is linear: 500states 10rounds = 750min * 10 = 7500 min |
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| + | == Imputation == |
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| A good rule of thumb is that minimac should take about 1 hour to impute 1,000,000 markers in 1,000 individuals using a reference panel with 100 haplotypes. Performance should scale linearly with respect to all these factors. So, your approximate computing time in hours should be about: | | A good rule of thumb is that minimac should take about 1 hour to impute 1,000,000 markers in 1,000 individuals using a reference panel with 100 haplotypes. Performance should scale linearly with respect to all these factors. So, your approximate computing time in hours should be about: |