Your code:

$1.$ Create a function called load$\_$data.

a$.$ It takes as argument the name of the file to be used $($a string$).$

b$.$ It returns a data structure $($or more than one$)$ that contains all of the information from the input file.

$2.$ Create a function called count$\_$nucl$\_$freq.

a$.$ It takes as argument the data structure$($s$)$ generated by load$\_$data.

b$.$ It returns a new data structure $($or more than one$)$ that contains the frequencies of the nucleotides for each column in each sequence.

$3.$ Create a function called find$\_$consensus.

a$.$ It takes as argument the data structure$($s$)$ generated by count$\_$nucl$\_$freq.

b$.$ It returns a string; the consensus sequence.

$4.$ Create a function named process$\_$results.

a$.$ It takes as arguments the data structure$($s$)$ created by count$\_$nucl$\_$freq and the name of the output file $($a string$).$

b$.$ It writes the results, in the format previously described, to the output file.

c$.$ It doesn$$t return anything.

Other Important information

$1.$ Sample files are provided, but they are for testing purposes only. In other words, the sample DNAOutput.txt provided should be the result of executing your program with the sample file provided $($DNAInput$.$fasta or DNAInput.txt$).$ Your program should be able to work with any FASTA file where all sequences are of the same length.

$2.$ You should NOT prompt for the file name; you should ALWAYS try to open a file named DNAInput.txt and your output should ALWAYS be to a file named DNAOutput.txt$.$

You may assume that:

$$ Every combination of description$+$sequence takes up $2$ lines $(1$ line for each$).$

$$ All sequences in the file have the same length. The exact length is not initially known; you may determine it from any of the sequences.

$$ All nucleotides are in capital letters.

$$ There will be no characters other than A$,$ C$,$ T$,$ and G in the sequences.

$$ There will be no ties for the most highly$-$occurring nucleotide in any column. This means that, when determining the consensus, there will be a single nucleotide that is the highest occuring.