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

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

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	3888 (8.8%), 1353 (3.1%), 24230 (55%), 43985	952 ± 12 (3.6%), 382 ± 4 (1.4%), 33816 ± 340 (128%), 26467 ± 2719	Week 4 data only