Created the Grand Canyon National Game Preserve and killed the deers predators.
Answer:
With the invention of the PCR technique , DNA profiling took huge strides forward in both discriminating power and the ability to recover information from very small or degraded starting samples.
The process of PCR mimics the biological process of DNA replication but confines it to specific DNA sequences of interest.
In PCR process , the DNA sample is denatured into separate individual polynucleotide strands through heating. Two oligonucleotide DNA primers are used to hybridise to two corresponding nearby sites on opposite DNA strands. Thus two new copies of the sequences of interest are generated.
Repeated denaturation , hybridisation and extension in this fashion produce an exponentially growing number of copies of the DNA of interest.
Quantitative PCR methods enable automated , precise and high - throughput measurements.
Answer:
X is the concentration of the substance being measured and Y is the response from the instrument that is being used to measure
Explanation:
A calibration curve is the plot of known concentration of substances where x is the increasing known concentration and Y is the response, typically "absorption" taken from the instrument that is used for measuring. This curve is then used to find out the concentration of the unknown substance by using it's absorbance and comparing it with the calibration curve. For example:
Concentrations and absorbance readings are as follows
0.5mg/mL=10 nm
1.0mg/mL=15nm
1.5mg/mL=20nm
2.0mg/mL=25nm
This data is plotted on a calibration curve. Next we measure the unknown substance the absorption is 20nm. We can suggest that the concentration is 1.5 mg/mL. If there are readings that fall inbetwen values then the formulat to calculate the right concentration would be y = mx + b, where m is the slope and b is the y-intercept.
Linear regression uses the modification of the slope formula y= a + bx to best see how the data of the water samples would fit on the slope of the calibration curve. X is the independent variable , b is the slope of the line and a is the y-intercept.
Extrapolation would be the action of calculating data that are outside the calibration curve, assuming the trend would continue.
