Functions

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Required course material for the lesson

Powerpoint: Making functions
Resource: Example code - Functions

Subjects covered

• Functions: a function is both a way of hiding complexity and a way of reusing code.
• Scope of variables.

Exercises to be handed in

1. The Hamming distance is the distance between two strings of equal length. Make a function which takes two strings as arguments and calculates the distance between them. Add error handling.
2. Make a function fibonacci(no1, no2, count) which calculates the first count fibonacci numbers based on no1 and no2 and returns them in a list. The next number in a fibonacci sequence is the sum of the two previous numbers. Test it with printing the resulting list (one number per line) from fibonacci(0,1,20).
3. Make a function that returns the unique elements of a list as a list. Try it on the accession numbers in ex5.acc, which contains 6461 unique accessions, but also make your own file with simple numbers.
4. Make a function that calculates the standard deviation of a list of numbers. Try with the file ex1.dat, where you pool all the numbers in the the 3 columns into one list and get the result 1.8355. You can either do the two-pass algorithm (iteration through all the numbers twice) which is clear from the formula or the one-pass algorithm which you can derive from the formula if you are smart enough.
   
5. Make a function fastaread(filename) which takes a filename as a parameter and returns 2 lists, first list is the headers, second list is the sequences (as single strings without whitespace). Add appropriate error handling to the function. You can test your function on the file dna7.fsa.
6. Make a function fastawrite(filename, headers, sequences) which takes a filename, a list of headers and a corresponding list of sequences as parameters and writes the fasta file. Add appropriate error handling to the function. You can test your function on the file dna7.fsa.
7. Make a function that take a DNA sequence (string) as parameter and return the complement strand (reverse complement). Make the function generic and portable, i.e. not dependent on any external factors. Together with the functions you made in exercise 3 & 4, read the fasta entries in file dna7.fsa and write the complement strands in the new file revdna7.fsa. Add 'Complement strand' to each header.
8. Make a function that calculates the GC-content of a DNA sequence. It takes a DNA (string) as parameter and returns the GC percentage. Make the function generic and portable, i.e. not dependent on any external factors. Together with the functions you made in exercise 3 & 4, read the fasta entries in file dna7.fsa and write only the sequences which has a GC-content percentage over 50% in the new file dna7GC.fsa.