Question 1.1 +0.5 pt Good use of awk. Assuming uniform read lengths, it might have been faster to just get the length of the second line for the first read by using head -2|tail -1 and then piping that into either awk or wc -m
Question 1.2 +0.5 pt
Question 1.3 +0.5 pt
Question 1.4 +0.5 pt
Question 1.5 +0.5 pt
Score: 2.5/2.5 pt
Part 2: Bash script for Exercise 2 (3 pt)
Evalutation:
Question 2.1 +0.5 pt
Question 2.2 +0.5 pt
Question 2.3 +0.25 pt should grep -v "^@" first to remove header lines, which also include instances of "chrIII" and inflate count
Question 2.4 +0.5 pt
Question 2.5 +0.5 pt
Question 2.6 +0.5 pt
Score: 2.75/3 pt
Part 3: Python script for Exercise 3 (2.5 pt)
Evaluation:
Well-written and -commented python code!
Score: 2.5/2.5 pt
Part 4: R script and figures for Exercise 3 (2 pt)
Evaluation:
Histogram plots look good
-0.5 pt Include some interpretation of the data's distribution - does the mode make sense? does the type of distribution make sense? in light of what is being measured
Part 1: Bash script for Exercise 1 (2.5 pt)
Evaluation:
Score: 2.5/2.5 pt
Part 2: Bash script for Exercise 2 (3 pt)
Evalutation:
Score: 2.75/3 pt
Part 3: Python script for Exercise 3 (2.5 pt)
Evaluation:
Score: 2.5/2.5 pt
Part 4: R script and figures for Exercise 3 (2 pt)
Evaluation:
Score: 1.5/2 pt
Total score: 9.25/10 pt