Mercurial > repos > jjkoehorst > sapp

annotate rnaseq/cutadapt/test-data/qualsolid.stats @ 11:a712b378e090

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cutadapt added
author jjkoehorst <jasperkoehorst@gmail.com>
date Sat, 21 Feb 2015 16:33:42 +0100
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11
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
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1 column count min max sum mean Q1 med Q3 IQR lW rW
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2 1 24 2 31 413.0 17.2083333333 5 18.0 28 23 2 31
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3 2 24 5 31 499.0 20.7916666667 10 26.0 30 20 5 31
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4 3 24 2 34 324.0 13.5 2 6.5 30 28 2 34
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5 4 24 2 32 397.0 16.5416666667 3 16.5 31 28 2 32
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6 5 24 2 31 349.0 14.5416666667 4 13.0 25 21 2 31
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7 6 24 2 34 456.0 19.0 6 18.5 31 25 2 34
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jjkoehorst <jasperkoehorst@gmail.com>
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8 7 24 2 34 545.0 22.7083333333 15 27.0 30 15 2 34
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jjkoehorst <jasperkoehorst@gmail.com>
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9 8 24 2 31 338.0 14.0833333333 3 10.0 27 24 2 31
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10 9 24 2 32 377.0 15.7083333333 3 17.0 27 24 2 32
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11 10 24 2 31 373.0 15.5416666667 4 13.0 27 23 2 31
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12 11 24 2 31 371.0 15.4583333333 6 12.5 28 22 2 31
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13 12 24 2 33 505.0 21.0416666667 13 23.0 29 16 2 33
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14 13 24 2 31 302.0 12.5833333333 4 11.0 23 19 2 31
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15 14 24 2 33 384.0 16.0 4 18.5 26 22 2 33
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16 15 24 2 31 392.0 16.3333333333 4 13.0 30 26 2 31
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17 16 24 2 31 380.0 15.8333333333 6 15.5 29 23 2 31
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18 17 24 2 31 465.0 19.375 11 24.5 30 19 2 31
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19 18 24 2 30 304.0 12.6666666667 4 9.0 23 19 2 30
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20 19 24 2 31 350.0 14.5833333333 4 13.0 27 23 2 31
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jjkoehorst <jasperkoehorst@gmail.com>
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21 20 24 2 31 332.0 13.8333333333 2 13.0 21 19 2 31
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22 21 24 2 32 358.0 14.9166666667 4 14.5 26 22 2 32
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23 22 24 2 31 456.0 19.0 8 24.0 28 20 2 31
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24 23 24 2 31 308.0 12.8333333333 5 8.0 19 14 2 31
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25 24 24 2 31 280.0 11.6666666667 5 8.5 16 11 2 31
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26 25 24 2 30 300.0 12.5 5 9.5 21 16 2 30
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27 26 24 2 31 384.0 16.0 3 20.0 25 22 2 31
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28 27 24 2 31 389.0 16.2083333333 8 16.0 24 16 2 31
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29 28 24 2 28 242.0 10.0833333333 2 6.0 21 19 2 28
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30 29 24 2 26 240.0 10.0 4 6.5 14 10 2 26
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31 30 24 2 28 297.0 12.375 6 8.5 22 16 2 28
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32 31 24 2 30 304.0 12.6666666667 3 9.0 22 19 2 30
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33 32 24 2 31 324.0 13.5 5 12.5 23 18 2 31
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34 33 24 2 26 255.0 10.625 4 8.0 20 16 2 26
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35 34 24 2 30 226.0 9.41666666667 2 6.5 13 11 2 29.5
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36 35 24 2 29 244.0 10.1666666667 2 7.0 19 17 2 29