BME100 f2014:Group22 L6

BME 100 Fall 2014	Home People Lab Write-Up 1 | Lab Write-Up 2 | Lab Write-Up 3 Lab Write-Up 4 | Lab Write-Up 5 | Lab Write-Up 6 Course Logistics For Instructors Photos Wiki Editing Help
OUR COMPANY Name: Aaron Raber Name: Chase Radigan Name: Daniel Sorto Name: Zach Steidl Name: Lisa Lavergne LAB 6 WRITE-UP Bayesian Statistics Overview of the Original Diagnosis System In order to test various patients for the presence of the disease-associated SNP, 34 teams of roughly 6 members each ran tests using a PCR reaction. Each group tested two individual patients, and prepared three replicated solutions of DNA and primer mix for each to be compared to positive and negative controls. The three replicant solutions from each pair of patients were then run through 30 cycles in the Open PCR machines along with the positive and negative controls, giving a total of 8 PCR results per group. In order to compare each of the results to one another and determine their concentrations of DNA, a calibration curve was created using the fluorimeter and solutions of DNA of known concentrations. For calibration, 6 drops were prepared using 80 μL of DNA solution (0, 0.25, 0.5, 1, 2, and 5 μg/mL concentrations) and 80 μL of SYBR GREEN I dye were placed on a hydrophobic slide and placed in the fluorimeter. Using the same camera settings and distance from the camera to the fluorimeter (within each group; setups and cameras varied from group to group), three photos were taken of each droplet in the fluorimeter. Each of the 8 test solutions from the PCR machine were put in the fluorimeter in a similar fashion. What Bayes Statistics Imply about This Diagnostic Approach Calculations 1 & 2: Conclusiveness and Errors of PCR Tests Calculations 3 & 4: Accuracy and Errors of RNP Results in Detecting Disease Computer-Aided Design TinkerCAD Our Design Feature 1: Consumables Kit Feature 2: Hardware - PCR Machine & Fluorimeter