A1.3
Question 1 Single best answer Level 1 1 point
In a pairwise alignment, one column holds a letter in one sequence and a dash in the other. In the vocabulary used for alignment columns, what is this column called?
- A gap
- A deletion
- A mismatch
- A substitution
Question 2 Single best answer Level 2 1 point
How do similarity and homology differ for a pair of sequences?
- Homology is read directly from the letters, while similarity is inferred from shared ancestry.
- Similarity is read directly from the letters, and high similarity proves the sequences are homologous.
- Similarity is read directly from the letters, while homology is inferred from shared ancestry.
- Similarity and homology are the same property, one given as a count and one as a percentage.
Question 3 Single best answer Level 2 1 point
A single insertion near the start of a sequence makes two closely related sequences look very different when compared position by position. Why does one insertion have such a large effect?
- The insertion changes the identity of every later letter, so most later positions now hold different bases.
- The insertion lowers similarity only at the point where it happens, adding a cluster of mismatches there.
- The insertion shifts every later letter by one position, so a position-by-position comparison pairs letters that were never partners.
- The insertion can be found only with a substitution matrix, which a position-by-position comparison does not use.
Question 4 Single best answer Level 2 1 point
On a dot plot of two sequences, a diagonal run of dots stops and then resumes one column to the side. What does this break-and-shift pattern indicate?
- A chance match, shown by a lone dot with no diagonal neighbors.
- An insertion or deletion, shown by the diagonal breaking and resuming one column over.
- An inversion, shown by a segment running in the opposite diagonal direction.
- A repeated motif, shown by a second diagonal running parallel to the main one.
Question 5 Single best answer Level 2 1 point
On a DNA dot plot, a sliding window with an identity threshold removes most lone dots while keeping true diagonals. Why does this filter work?
- Lone dots are dropped because they fall away from the main diagonal, which is the only region the window inspects.
- A lone match is common by chance, but a run of matches is rare, so a window that demands many matches keeps diagonals and drops lone dots.
- A single DNA match is almost never due to chance, so any lone dot the window removes must have been a plotting error rather than real.
- The window rescales the plot so that only the single longest diagonal remains visible, regardless of how many matches it contains.
Question 6 Single best answer Level 3 1 point
Score alignments with match \(+1\), mismatch \(-1\), and gap \(-2\), reading each column from top to bottom. Alignment 1 places GATTACA over GACTA-A. Alignment 2 places GA-TTACA over GACT-A-A. Which alignment scores higher, and what is that score?
- Alignment 1; score \(2\)
- Alignment 1; score \(3\)
- Alignment 2; score \(-1\)
- Alignment 2; score \(5\)