# CSCI3220 Algorithms for Bioinformatics Assignment 1 solved

\$35.00

## Description

5/5 - (1 vote)

In this assignment, you will first use dynamic programming to solve optimal sequence alignment
problems, both manually and by writing a computer program. You will then study ways to skip
some entries in the dynamic programming table that would not affect the final results. Finally, you
will go through some steps of FASTA on some example sequences.
The bonus part is for those who enjoy challenges. The maximum score you can get from this
assignment is capped at 100, but doing this bonus part would give you a better chance of getting a
high score.
Questions:
In Questions 1-2, we will use a scoring scheme of having +2 scores for a match, -1 score for a
mismatch, and -2 scores for an indel without applying affine gap penalty.
1. Fill in the following dynamic programming table to perform optimal global alignment between
the sequences r=GTACC and s=CCTCC based on the scoring scheme stated above. Draw all
arrows that lead to the score of each cell (i.e., only the “red arrows”). You can use the
PowerPoint table template in the file CSCI3220_2018Fall_Assignment1_template.pptx if you
want. Report the optimal alignment score and all alignments with this optimal score. When
showing an alignment, indicate the names of the sequences clearly. (20%)
s
r
G
T
A
C
C C T C C
C
Ø
Ø
2. Repeat Question 1 but perform a local alignment instead of a global alignment. When showing
an alignment, indicate the sequence names and the starting and ending positions of the
aligned regions clearly. (20%)
3. Write a computer program in C, C++, Java or Python for performing optimal pairwise global
alignments of DNA sequences using dynamic programming, without affine gap penalty. Your
program should take the following inputs from stdin (not from a file) in the specified order,
each occupying a different line:
i. Score for a match (a positive integer)
ii. Score for a mismatch (a negative integer)
iii. Score for an indel (a negative integer)
iv. First DNA sequence (a text string)
v. Second DNA sequence (a text string)
You do not need to check for errors in the inputs.
Your program should output to the screen (i.e., stdout) the highest alignment score and all
optimal alignments in the following format:
[ ]
The part in square brackets repeats for each optimal alignment. During the traceback, whenever
a table entry has multiple incoming arrows, the horizontal one should be the first to traceback,
s
r
G
T
A
C
C C T C C
C
Ø
Ø
followed by the diagonal one, and finally the vertical one. The resulting optimal alignments
in the output should also follow this order.
The non-comment portion of your program is expected to contain no more than 150 lines of
code.
Here is a screen shot when a sample Java program called DP was run on an example from the
lecture notes:
>java DP
1
-1
-1
ATGCGT
ACGGCGT
3
A_TGCGT
ACGGCGT
AT_GCGT
ACGGCGT
ATG_CGT
ACGGCGT
Your program will be graded based on i) whether it can be compiled/run successfully, ii)
whether it follows the input/output formats as specified above, iii) its accuracy on a number of
test cases and iv) whether the program is well-documented with appropriate comments added to
explain the meaning of the code. In view of the large size of our class, for easy grading, you
may get zero score if your program cannot be compiled or it does not conform to the
input/output formats specified.
Do not forget to use your program to check your answer to Question 1, and the examples in the
lecture notes and tutorial notes. (30%)
4. In Question 1, we found the optimal global alignment(s) by filling in the whole dynamic
programming table. However, given the specific scoring scheme we considered (+2 for a match,
-1 for a mismatch and -2 for an indel), it is actually not necessary to fill in the whole table.
(a) List all the entries in the dynamic programming table that can never be involved in an
optimal global alignment between any two length-5 sequences given the above scoring
scheme. Explain why these entries can never be involved in an optimal global alignment.
(Hint: Consider what score each table entry needs to achieve in order to be involved in an
optimal alignment, and whether the entry can actually achieve this score.) (14%)
(b) Based on your answer in Part a, explain how the dynamic programming algorithm can be
modified to skip the table entries that can never be involved in an optimal global alignment,
assuming that the table is still a 6´6 two-dimensional array. Give as much specific detail as
possible. (6%)
(c) [Optional] Now we generalize the results in Part a to two sequences of any lengths |r|=n and
|s|=m³n, and any reasonable scoring scheme without affine gap penalty. Specifically,
2. Repeat Question 1 but perform a local alignment instead of a global alignment. When showing
an alignment, indicate the sequence names and the starting and ending positions of the
aligned regions clearly. (20%)
3. Write a computer program in C, C++, Java or Python for performing optimal pairwise global
alignments of DNA sequences using dynamic programming, without affine gap penalty. Your
program should take the following inputs from stdin (not from a file) in the specified order,
each occupying a different line:
i. Score for a match (a positive integer)
ii. Score for a mismatch (a negative integer)
iii. Score for an indel (a negative integer)
iv. First DNA sequence (a text string)
v. Second DNA sequence (a text string)
You do not need to check for errors in the inputs.
Your program should output to the screen (i.e., stdout) the highest alignment score and all
optimal alignments in the following format:
[ ]
The part in square brackets repeats for each optimal alignment. During the traceback, whenever
a table entry has multiple incoming arrows, the horizontal one should be the first to traceback,
s
r
consider a scoring scheme with a match score of smatch>0, a mismatch score of smismatch<0, and an indel score of sindel_asmt1., where is either doc, docx or pdf. We prefer pdf files because it
has better portability, which guarantees for instance the arrows are displayed at the correct locations
no matter on which machine the file is opened. If you need to use a doc or docx file, include images
for your dynamic programming tables rather than drawing objects (if you use the PowerPoint
template, choose “Paste Special” ® “Picture (enhanced metafile)” or “PDF”).
Both your written and source code files should contain the following header. Contact Kevin before
submitting the assignment if you have anything unclear about the guidelines on academic honesty.
CSCI3220 2018-19 First Term Assignment 1
I declare that the assignment here submitted is original except for source
material explicitly acknowledged, and that the same or closely related material
has not been previously submitted for another course. I also acknowledge that I
am aware of University policy and regulations on honesty in academic work, and
of the disciplinary guidelines and procedures applicable to breaches of such
policy and regulations, as contained in the following websites.
Student Name:
Student ID :