Talk:20.109(S11):Wrap-up analysis and modelingb (Day8)

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T/R

Please use the following order for all data: IPTG, IPTG/AHL, -/-, AHL.

Data should be written as: # units (% of AHL case). You can indicate the standard deviation of the data if it is known. (You may include one more significant figure than you believe (or not) for your classmates' reference, but don't go overboard!)

In notes you can explain if you are using week 1, week 4, or both data sets for the original system. Also specify which team's design you used, if your own did not produce colonies. Finally, definitely mention if some of your data points are untrustworthy due to saturation.

Group Miller units and % maximal (original) Miller units and % maximal (modified) Notes
Sample 1320 (7.0%), 1470 (7.8%), 12,740 ± 20 (67%), 18,900 ± 300 700 (3.6%), 1280 (6.5%), 9100 ± 260 (46%), 19,600 ± 350 week 4 data only
Blue 1146.95 (3.4%), 1273.3 (3.8%), 31696.1 (95%), 33278.3 6111.7 (1176.6%), 6252.9 (1203.7%), 423.4 (81.5%), 519.5 week 4 data only
Yellow 2015(2.5%), 1843(2.3%), 61790(77%), 79800 27960(19%), 29930(20%), 138940(94%), 147470 week 4 data only, -/- and AHL data may be unreliable due to saturation
Pink 20008 (59%), 1061 (3.1%), 16659 (49.1%), 33903 7046 (3292%), 6083 (2842%), 265 (4.3%), 214 week four data, modified data probably unreliable (used Green W/F design)
Purple 7640, 7907, 116000, 108000 55239 (0.76%), 90264 (17.5%), 73772 (14.7%), 55060 (11.0%) week four only
Red 1573 (2.55%), 1551(2.52%), 48894 (79.5%), 61531 33756 (58.5%), 21459 (37.2%), 42282 (73.2%), 57740 week four only
Green 665 (15.8%), 1275(30.46%),10837(258%),4185 115(1.95%), 616(10.47%), 4610(78.36%), 5883 week four only
Orange 307.3(0.81%), 340.9(0.9%), 14101.1(37.36%), 37734.1 651.8(1.26%), 1689.7(3.27%), 39343.5(76.3%), 51531.3 week 1 data only for original system. We ultimately used the T/R Blue group's design for the modified system because we did not get any colonies.


W/F

Please use the following order for all data: IPTG, IPTG/AHL, -/-, AHL.

Data should be written as: # units (% of AHL case). You can indicate the standard deviation of the data if it is known. (You may include one more significant figure than you believe (or not) for your classmates' reference, but don't go overboard!)

In notes you can explain if you are using week 1, week 4, or both data sets for the original system. Also specify which team's design you used, if your own did not produce colonies. Finally, definitely mention if some of your data points are untrustworthy due to saturation.

Group Miller units and % maximal (original) Miller units and % maximal (modified) Notes
Sample 1320 (7.0%), 1470 (7.8%), 12,740 ± 20 (67%), 18,900 ± 300 700 (3.6%), 1280 (6.5%), 9100 ± 260 (46%), 19,600 ± 350 week 4 data only
Yellow 1030 ± 20 (5.0%), 1000 ± 73 (4.9%), 17,100 ± 5200 (84%), 20,500 ± 73 156 ± 20 (0.92%), 172 ± 11 (1.0%), 7320 ± 690 (43%), 16,900 ± 90 Previously posted values were a factor of 10 too high. (accidentally used 50 ul overnight culture rather than a 1:10 dilution)
Week 4 data only
Purple 294 (2.0%), 431 (2.9%), 12778 (86.2%), 14820 53 (0.87%), 49 (0.81%), 4088 (68.1%), 6001 week four data only
Green 3133 ± 1071 (4.17%), 2523 ± 683 (3.36%), 65516 ± 8381 (87.30%), 75045 ± 10079(100%) 3437 ± 1202 (4.18%), 3621 ± 1236 (4.41%), 63504 ± 8436 (77.25%) 82206 ± 27188 (100%) week 4 data only. Previously posted data were...just wrong. Upon realizing that the values calculated didn't make any sense even for the initial system, we did the calculations again and got more reasonable values. We're not really sure what happened the first time, but we think we averaged the wrong rows in Excel.
Blue 2060 (3%), 2169 ± 99 (3%), 33495 ± 15253 (50%), 66165 ± 581(100%) 2238 ± 30(3%), 14199 ± 6610(24%), 43769 ± 3169(76%), 57372 ± 741(100%) week 4 data only. We redid the calculation because we forgot to subtract the blank sample from all other samples.
Pink 1602 (2.7%), 1413 (2.4%), 42479 (73%), 57930 5789 (9.6%), 9837 (16.3%), 50430 (83.3%), 60517 Week 1 and Week 4 data for the original construct
Red 1656 (2.5%), 1695 (2.5%), 43077 (64%), 67583 357 ± 16 (2.1%), 432 ± 13 (2.5%), 11910 ± 334 (70%), 16990 ± 235 Week 4 data only
Orange 3240 (12.5%), 4380 (17%), 10680 (41%), 25900 (100%) 390 (15%), 700 (27%), 1620 (62%), 2630(100%) Week 4 data only; modified due to previous errors with Excel averaging.


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