for SOLiD data solid_qual_stats.py $input $output1

**What it does** Creates quality statistics report for the given SOLiD quality score file. .. class:: infomark **TIP:** This statistics report can be used as input for **Quality Boxplot for SOLiD data** tool. ----- **The output file will contain the following fields:** * column = column number (position on the read) * count = number of bases found in this column. * min = Lowest quality score value found in this column. * max = Highest quality score value found in this column. * sum = Sum of quality score values for this column. * mean = Mean quality score value for this column. * Q1 = 1st quartile quality score. * med = Median quality score. * Q3 = 3rd quartile quality score. * IQR = Inter-Quartile range (Q3-Q1). * lW = 'Left-Whisker' value (for boxplotting). * rW = 'Right-Whisker' value (for boxplotting). **Output Example**:: column count min max sum mean Q1 med Q3 IQR lW rW 1 6362991 2 32 250734117 20.41 5 9 28 23 2 31 2 6362991 2 32 250531036 21.37 10 26 30 20 5 31 3 6362991 2 34 248722469 19.09 10 26 30 20 5 31 4 6362991 2 34 247654797 18.92 10 26 30 20 5 31 . . 32 6362991 2 31 143436943 16.54 3 10 25 22 2 31 33 6362991 2 32 114269843 16.96 3 10 25 22 2 31 34 6362991 2 29 140638447 12.10 3 10 25 22 2 29 35 6362991 2 29 138910532 11.83 3 10 25 22 2 29 ------ This tool is based on `FASTX-toolkit`__ by Assaf Gordon. .. __: http://hannonlab.cshl.edu/fastx_toolkit/