|CS 107 - Introduction to Scientific Computation
1. RNA Transcription: DNA and RNA consist of sequences of nucleotides.
DNA nucleotides each contains one of the following bases: adenine, cytosine,
guanine, and thymine, abbreviated A, C, G, and T, respectively. In
bioinformatics, a DNA sequence is often represented as a string made up of these
abbreviated base names (e.g. "GATTACA"). RNA uses uracil (U) in place of
thymine (T). When RNA is transcribed from DNA, the result is a "copy" of
the DNA sequence with uracil (U) substituted in the RNA for each occurrence of
thymine (T) in the DNA. Submit a function
transcribe.m that takes a string
of DNA bases, and returns the corresponding string of transcribed RNA bases.
>> transcribe('GATTACA') ans = GAUUACA
2. RNA Codon Translation: Exercise 8.7. Submit function
Hint: One approach makes use of a switch/case statement to map sets of codons to the smaller number of acids/'Stop'. Another approach would be to start your definition as follows:
function res = rna2amino(bases, startIndex) acids = ['Phe'; 'Ser'; 'Tyr'; 'Cys'; ... 'Phe'; 'Ser'; 'Tyr'; 'Cys'; ... 'Leu'; 'Ser'; 'Stp'; 'Stp'; ... 'Leu'; 'Ser'; 'Stp'; 'Trp'; ... 'Leu'; 'Pro'; 'His'; 'Arg'; ... 'Leu'; 'Pro'; 'His'; 'Arg'; ... 'Leu'; 'Pro'; 'Gln'; 'Arg'; ... 'Leu'; 'Pro'; 'Gln'; 'Arg'; ... 'Ile'; 'Thr'; 'Asn'; 'Ser'; ... 'Ile'; 'Thr'; 'Asn'; 'Ser'; ... 'Ile'; 'Thr'; 'Lys'; 'Arg'; ... 'Met'; 'Thr'; 'Lys'; 'Arg'; ... 'Val'; 'Ala'; 'Asp'; 'Gly'; ... 'Val'; 'Ala'; 'Asp'; 'Gly'; ... 'Val'; 'Ala'; 'Glu'; 'Gly'; ... 'Val'; 'Ala'; 'Glu'; 'Gly'];This is a 64x3 character array that has the take amino acid entries left-to-right, top-to-bottom. Suppose you used strfind('UCAG', base) - 1, to assign an individual base a number (e.g. strfind('UCAG', 'A') - 1 → 2). Consider, for a given codon, how the change of a single base's number in a single position (holding all others fixed) affects the index of the desired acid. Form a mathematical expression from the codon's three base numbers to the acid (converting a 'Stp' result to 'Stop').
3. Dot Plot: A dot plot is a means of visually comparing similarity of two base sequences. Given two strings s1 and s2 of bases, coordinate (i, j) of the plot is black if s1(i) == s2(j), and is white otherwise. We'll accomplish this by building a 2D array x of 0's and 1's, corresponding to mismatches and matches, respectively. We plot them as follows:
colormap(gray(2)); image(2 - x); axis ij; axis square;