Recursos informáticos para Biólogos.

Microarray Data Analysis

Spots are analyzed by the adaptive quantification method with local background subtractions

Microarray data:

Column Row Name F532 Median B532 Median F635 Median B635 Median 1 1 Control - 1145 160 1182 122 2 1 Control - 593 218 515 122 3 1 Control - 1257 183 1382 128 4 1 Control - 525 168 475 126 5 1 Control - 1132 155 1271 120 6 1 Control - 610 218 510 122 7 1 Control - 1099 176 1292 127 8 1 Control - 603 180 481 123 9 1 Control - 878 149 1082 119 10 1 Control - 441 139 444 119 1 2 Control + 10387 140 4269 116 2 2 Control + 9035 132 3705 115 3 2 Control + 7899 126 3331 117 4 2 Control + 7039 118 2883 114 5 2 Control + 9407 138 3994 115 6 2 Control + 7545 127 3240 116 7 2 Control + 8915 134 3843 114 8 2 Control + 7169 126 3038 119 9 2 Control + 7867 137 3345 120 10 2 Control + 9369 140 4184 122 1 3 Gene 1 4276 111 574 108 2 3 Gene 1 3798 111 439 107 3 3 Gene 1 3311 110 418 107 4 3 Gene 1 4258 109 441 106 5 3 Gene 1 3548 109 445 104 6 3 Gene 1 3448 108 424 101 7 3 Gene 1 3412 107 415 105 8 3 Gene 1 3856 106 445 107 9 3 Gene 1 3510 116 395 111 10 3 Gene 1 3853 108 427 109 1 4 Gene 2 4830 119 670 107 2 4 Gene 2 5625 101 804 103 3 4 Gene 2 5053 118 682 105 4 4 Gene 2 5895 106 835 105 5 4 Gene 2 5913 102 816 105 6 4 Gene 2 5041 103 773 103 7 4 Gene 2 4846 114 703 106 8 4 Gene 2 5362 107 812 108 9 4 Gene 2 4811 117 716 104 10 4 Gene 2 4610 109 627 108 1 5 Gene 3 431 99 427 107 2 5 Gene 3 536 90 520 105 3 5 Gene 3 528 100 475 109 4 5 Gene 3 489 92 504 105 5 5 Gene 3 509 93 508 108 6 5 Gene 3 486 92 523 107 7 5 Gene 3 605 104 574 111 8 5 Gene 3 562 97 638 109 9 5 Gene 3 591 108 577 112 10 5 Gene 3 609 101 626 110 1 6 Gene 4 30728 202 3353 130 2 6 Gene 4 41199 206 4245 131 3 6 Gene 4 22218 206 2434 128 4 6 Gene 4 30179 199 3062 122 5 6 Gene 4 26642 170 2525 122 6 6 Gene 4 23061 184 2259 119 7 6 Gene 4 29017 183 2782 114 8 6 Gene 4 27071 176 2747 116 9 6 Gene 4 22631 164 2345 110 10 6 Gene 4 23668 191 2559 113 1 7 Gene 5 3190 103 2135 104 2 7 Gene 5 3294 106 2389 100 3 7 Gene 5 2114 106 1769 107 4 7 Gene 5 3029 103 2524 105 5 7 Gene 5 3236 105 2237 103 6 7 Gene 5 3296 106 2379 104 7 7 Gene 5 3131 117 2416 110 8 7 Gene 5 3261 112 2440 108 9 7 Gene 5 2866 111 2469 107 10 7 Gene 5 2621 116 2057 111 1 8 Gene 6 3791 111 3077 109 2 8 Gene 6 4054 112 3210 107 3 8 Gene 6 3235 115 2362 112 4 8 Gene 6 3874 117 3070 105 5 8 Gene 6 4208 101 3399 109 6 8 Gene 6 3283 117 2779 108 7 8 Gene 6 3354 109 2403 105 8 8 Gene 6 4139 104 3307 108 9 8 Gene 6 2706 108 2046 108 10 8 Gene 6 3027 101 2693 105 1 9 Gene 7 979 98 805 108 2 9 Gene 7 877 95 766 106 3 9 Gene 7 877 98 798 110 4 9 Gene 7 932 94 791 105 5 9 Gene 7 941 95 873 111 6 9 Gene 7 995 96 943 110 7 9 Gene 7 967 109 861 112 8 9 Gene 7 1073 101 926 109 9 9 Gene 7 984 109 893 111 10 9 Gene 7 976 106 901 110 1 10 Gene 8 215 194 152 124 2 10 Gene 8 212 187 126 120 3 10 Gene 8 276 201 177 131 4 10 Gene 8 205 188 139 124 5 10 Gene 8 227 186 137 121 6 10 Gene 8 223 209 137 123 7 10 Gene 8 214 182 139 116 8 10 Gene 8 189 168 129 114 9 10 Gene 8 217 167 163 115 10 10 Gene 8 247 179 156 118

Copy tabulated data to the textarea as shown. First valid data must correspond to Column 1/Row 1.
All lines preceding data for Column 1/Row 1 will be removed previous to calculations.

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Computational procedure: 1. For each spot, the following is computed for both channels (1 and 2): (value-background)*100/sum(value-background)) 2. With previous results, ch1/ch2 and ch2/ch1 are computed 3. As there are several replicas for ch1/ch2 and ch2/ch1, median and its base 10 logarithm is computed. 4. In a table, medians and logs are represented. A color code is used to show over-expression (red) or under-expression (blue).

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Source code available at biophp.org

Esta obra está bajo una licencia de Creative Commons. BioScripts está creado por Francisco Gálvez para recopilar todos los proyectos que tiene pensados hacer en 2006-2008.