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What is the purpose of checking the %GC in our NGS data?
What is the ideal %GC value? Explain why this is the ideal value.
Step by step
Solved in 3 steps
why does a GC rich (70-80%) and GC poor (30-40%) give a low read coverage?
- What value of [S], as a fraction of KM, is required to obtain 80% of Vmax? (Hint: use the MM equation, and algebra.) Express your answer as the fraction/multiple of KM needed, for example, if your answer is 2.75 times KM, then enter "2.75" or if your answer is 1/2 times KM, then enter "1/2" or "5" Don't include "x" or "times" just the number.what are the complications or the low-reliability in determining the value of KM using graphical methods from a Michaelis-Menten PlotWith respect to the concerted model, what is the L value? What is the c value?
- Using the rule of 300, what is the approximate rate?The mean weight of loaves of bread produced at the bakery where you work is supposed to be 1 pound. You are the supervisor of quality control at the bakery, and you are concerned that new employees are producing loaves that are too light. Suppose you weigh an SRS of bread loaves and find that the mean weight is 0.975 pound. What are the appropriate hypotheses for performing this significance test? Ho : x = 1; H. : x < 1 where i = the sample mean weight (in pounds) of bread loaves produced at the bakery. Ho : u = 1; H. : µ < 1 where u = the true mean weight (in pounds) of bread loaves produced at the bakery. Ho : µ < 1; H, : H = 1 where u = the true mean weight (in pounds) of bread loaves produced at the bakery. Ho : u = 1; H. : p = 0.975 where u= the true mean weight (in pounds) of bread loaves produced at the bakery. Ho : u = 1; H. : u # 1 where u= the true mean weight (in pounds) of bread loaves produced at the bakery.Why is it difficult to accurately estimate Km and Vmax values from a Michaelis-Menten plot? Why are the benefits of estimating Km and Vmax values from a Lineweaver-Burk plot
- 1) You compare the height and weight of 5 adult women. You get the following results:height 60 67 62 70 66weight 119 143 131 155 136(a) Construct a scatter plot of height (x) vs. weight (y)(b) Calculate the following (show your work for SScp):SSx SSy SScp ̄x ̄y(c) Calculate the correlation coefficient (r)2) Use the information from problem 1. Perform a complete test of the hypothesis that the populationcorrelation coefficient (ρ) is 0. Show all steps (note - obviously this should be a one sided test! Make sure youknow why!).3) Now let's assume you wanted to predict weights from heights. In other words, now let's use the same datafrom problem (1) and do a regression instead.(a) Calculate b0 and b1.(b) Carefully draw your least square regression line on the plot you made in 1(a). (Don't just “sketch”,be a little careful).4) (a) Now do a significance test of H0: β1 = 0. Show all your calculations (including your residualcalculations). Again, note that this should be a one sided test…I'm needing help with part 1 through 3, please The data of Sugar Water and Plain Water: mean # of drops variance degrees of freedom t stat t crit (from the table) plain water 25.3 17.221 38 -4.01 2.0261 sugar water 21.3 21.256 1. Make a statement about t stat in relation to t crit. And what is the p-value? 2. Is there a statistically significant difference between the mean values (mean # of drops) of the sugar and plain water? Give your "yes" or "no" answer and the supporting evidence. 3. Hypothesis: The surface tension of plain water is higher than the surface tension of sugar water. Do these results support or refute the hypothesis about the effect of dissolving salt in water on surface tension?What if all the data above was the same EXCEPT with the change of G & X? Their new data is below. Would base X still be T? G & X [G] = 0.0447315M [X] = 0.0447315M [GX] = 0.0026845M 1.3416
- [S] (mM) v0 (mM/sec) 6 150 17 250 29 260 40 360 50 350 60 400 72 403 82 425 92 430 103 442 115 455 125 450 Km and Vmax obtained from the Lineweaver-Burk plot and linear regression analysis for the data in Table 2 are 16.9 mM and 503 mM respectively. Compare these values to the values obtained Vmax = 525.3 µM/sec Km = 20.70 µM . Which method, nonlinear regression or linear regression, is more tolerant to an experimental error? Note that lower substrate concentrations, which often have the greater error, have a greater effect on the slope of the line in the Lineweaver-Burk plot.Please discuss the value of international normalized ratio (INR) as a test. Why do you think this is more reliable that the ordinary PT.What is the x-intercept for the above reaction on a Lineweaver-Burk plot?A. -0.5 per mMB. -1.0 per mMC. -2.0 per mMD. -5.0 per mME. -10.0 per mM